Browse code

rm files

guangchuang yu authored on 21/12/2016 09:36:53
Showing 39 changed files

... ...
@@ -8,6 +8,7 @@ S3method(fortify,beast)
8 8
 S3method(fortify,codeml)
9 9
 S3method(fortify,codeml_mlc)
10 10
 S3method(fortify,hyphy)
11
+S3method(fortify,jplace)
11 12
 S3method(fortify,multiPhylo)
12 13
 S3method(fortify,obkData)
13 14
 S3method(fortify,paml_rst)
... ...
@@ -31,6 +32,7 @@ export(Date2decimal)
31 32
 export(MRCA)
32 33
 export(StatBalance)
33 34
 export(StatHilight)
35
+export(add_colorbar)
34 36
 export(annotation_image)
35 37
 export(apeBoot)
36 38
 export(as.binary)
... ...
@@ -84,6 +86,7 @@ export(revts)
84 86
 export(rotate)
85 87
 export(rotate_tree)
86 88
 export(scaleClade)
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+export(scale_color)
87 90
 export(scale_x_ggtree)
88 91
 export(stat_balance)
89 92
 export(stat_hilight)
... ...
@@ -99,6 +102,7 @@ exportMethods(groupClade)
99 102
 exportMethods(groupOTU)
100 103
 exportMethods(gzoom)
101 104
 exportMethods(reroot)
105
+exportMethods(scale_color)
102 106
 importFrom(ape,di2multi)
103 107
 importFrom(ape,extract.clade)
104 108
 importFrom(ape,getMRCA)
... ...
@@ -179,6 +183,7 @@ importFrom(methods,is)
179 183
 importFrom(methods,missingArg)
180 184
 importFrom(tidyr,gather)
181 185
 importFrom(treeio,as.treedata)
186
+importFrom(treeio,get.placements)
182 187
 importFrom(treeio,groupClade)
183 188
 importFrom(treeio,groupOTU)
184 189
 importFrom(utils,download.file)
... ...
@@ -140,17 +140,17 @@ setGeneric("reroot", function(object, node, ...) standardGeneric("reroot"))
140 140
 ## setGeneric("groupClade", function(object, node, group_name="group", ...) standardGeneric("groupClade"))
141 141
 
142 142
 
143
-## ##' @docType methods
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-## ##' @name scale_color
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-## ##' @rdname scale_color-methods
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-## ##' @title scale_color method
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-## ##' @param object supported objects, including phylo, paml_rst,
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-## ##'               codeml_mlc, codeml, jplace, beast, hyphy
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-## ##' @param by one of numerical attributes
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-## ##' @param ... additional parameter
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-## ##' @return color vector
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-## ##' @export
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-## setGeneric("scale_color", function(object, by, ...) standardGeneric("scale_color"))
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+##' @docType methods
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+##' @name scale_color
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+##' @rdname scale_color-methods
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+##' @title scale_color method
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+##' @param object supported objects, including phylo, paml_rst,
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+##'               codeml_mlc, codeml, jplace, beast, hyphy
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+##' @param by one of numerical attributes
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+##' @param ... additional parameter
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+##' @return color vector
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+##' @export
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+setGeneric("scale_color", function(object, by, ...) standardGeneric("scale_color"))
154 154
 
155 155
 ##' @docType methods
156 156
 ##' @name gzoom
... ...
@@ -342,21 +342,22 @@ fortify.phangorn <- fortify.paml_rst
342 342
 fortify.hyphy <- fortify.paml_rst
343 343
 
344 344
 
345
-## ##' @method fortify jplace
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-## ##' @importFrom ape read.tree
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-## ##' @export
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-## fortify.jplace <- function(model, data,
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-##                            layout="rectangular", yscale="none",
350
-##                            ladderize=TRUE, right=FALSE, mrsd=NULL, ...) {
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-##     df <- get.treeinfo(model, layout, ladderize, right, mrsd=mrsd, ...)
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-##     place <- get.placements(model, by="best")
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+##' @method fortify jplace
346
+##' @importFrom ape read.tree
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+##' @importFrom treeio get.placements
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+##' @export
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+fortify.jplace <- function(model, data,
350
+                           layout="rectangular", yscale="none",
351
+                           ladderize=TRUE, right=FALSE, mrsd=NULL, ...) {
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+    df <- extract.treeinfo.jplace(model, layout, ladderize, right, mrsd=mrsd, ...)
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+    place <- get.placements(model, by="best")
353 354
 
354
-##     df <- df %add2% place
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+    df <- df %add2% place
355 356
 
356
-##     df <- scaleY(model@phylo, df, yscale, layout, ...)
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+    df <- scaleY(model@phylo, df, yscale, layout, ...)
357 358
 
358
-##     append_extraInfo(df, model)
359
-## }
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+    append_extraInfo(df, model)
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+}
360 361
 
361 362
 scaleY <- function(phylo, df, yscale, layout, ...) {
362 363
     if (yscale == "none") {
... ...
@@ -33,25 +33,6 @@
33 33
 ##           )
34 34
 
35 35
 
36
-##' groupOTU method for ggtree object
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-##'
38
-##'
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-##' @name groupOTU
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-##' @title groupOTU method
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-##' @rdname groupOTU-methods
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-##' @param object ggtree object
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-##' @param focus OTU to focus
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-##' @param group_name name of the group
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-##' @param ... additional parameters
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-##' @importFrom treeio groupOTU
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-##' @exportMethod groupOTU
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-##' @aliases groupOTU,ggtree-method
49
-setMethod("groupOTU", signature(object="ggtree"),
50
-          function(object, focus, group_name="group", ...) {
51
-              groupOTU.ggtree(object, focus, group_name, ...)
52
-          })
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-
54
-
55 36
 ## ##' @rdname groupOTU-methods
56 37
 ## ##' @exportMethod groupOTU
57 38
 ## setMethod("groupOTU", signature(object="jplace"),
... ...
@@ -189,6 +170,24 @@ setMethod("groupOTU", signature(object="ggtree"),
189 170
 ##     return(object)
190 171
 ## }
191 172
 
173
+##' groupOTU method for ggtree object
174
+##'
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+##'
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+##' @name groupOTU
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+##' @title groupOTU method
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+##' @rdname groupOTU-methods
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+##' @param object ggtree object
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+##' @param focus OTU to focus
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+##' @param group_name name of the group
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+##' @param ... additional parameters
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+##' @importFrom treeio groupOTU
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+##' @exportMethod groupOTU
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+##' @aliases groupOTU,ggtree-method
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+setMethod("groupOTU", signature(object="ggtree"),
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+          function(object, focus, group_name="group", ...) {
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+              groupOTU.ggtree(object, focus, group_name, ...)
189
+          })
190
+
192 191
 
193 192
 groupOTU.ggtree <- function(object, focus, group_name, ...) {
194 193
     df <- object$data
... ...
@@ -1,162 +1,162 @@
1
-## ##' scale color by a numerical tree attribute
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-## ##'
3
-## ##' 
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-## ##' @rdname scale_color-methods
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-## ##' @exportMethod scale_color
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-## setMethod("scale_color", signature(object="beast"),
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-##           function(object, by, ...) {
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-##               scale_color_(object, by, ...)
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-##           })
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-
11
-
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-## ##' @rdname scale_color-methods
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-## ##' @exportMethod scale_color
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-## setMethod("scale_color", signature(object="nhx"),
15
-##           function(object, by, ...) {
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-##               scale_color_(object, by, ...)
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-##           })
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-
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-## ##' @rdname scale_color-methods
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-## ##' @exportMethod scale_color
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-## setMethod("scale_color", signature(object="paml_rst"),
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-##           function(object, by, ...) {
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-##               scale_color_(object, by, ...)
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-##           })
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-
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-
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-## ##' @rdname scale_color-methods
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-## ##' @exportMethod scale_color
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-## setMethod("scale_color", signature(object="phylo"),
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-##           function(object, by, ...) {
31
-##               scale_color_(object, by, ...)
32
-##           })
33
-
34
-
35
-## ##' add colorbar legend
36
-## ##'
37
-## ##' 
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-## ##' @title add_colorbar
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-## ##' @param p tree view
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-## ##' @param color output of scale_color function
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-## ##' @param x x position
42
-## ##' @param ymin ymin
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-## ##' @param ymax ymax
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-## ##' @param font.size font size 
45
-## ##' @return ggplot2 object
46
-## ##' @export
47
-## ##' @importFrom ggplot2 annotate
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-## ##' @author Guangchuang Yu
49
-## add_colorbar <- function(p, color, x=NULL, ymin=NULL, ymax=NULL, font.size=4) {
50
-##     mrsd <- attr(p, "mrsd")
51
-##     if (!is.null(mrsd)) {
52
-##         attr(p, "mrsd") <- NULL
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-        
54
-##         p$data$x <- Date2decimal(p$data$x)
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-##         p$data$branch <- Date2decimal(p$data$branch)
56
-##         ## annotation segment not support using Date as x-axis
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-##     }
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-    
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-##     legend <- do.call("cbind", attr(color, "scale"))
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-    
61
-##     legend[,1] <- round(as.numeric(legend[,1]), 2)
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-    
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-##     ## legend[nrow(legend),1] <- paste(">=", legend[nrow(legend),1])
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-
65
-##     if (is.null(x)) {
66
-##         xx <- range(p$data$x)
67
-##         x <- min(xx)+diff(xx)/100
68
-##     }
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-
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-##     yy <- range(p$data$y)
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-##     if (is.null(ymin)) {
72
-##         if (is.null(ymax)) {        
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-##             ymax <- max(yy) - diff(yy)/100
74
-##         }
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-##         ymin <- ymax - diff(yy)/15
76
-##     }
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-
78
-##     if (is.null(ymax)) {
79
-##         ymax <- ymin + diff(yy)/15
80
-##     }
81
-        
82
-##     yy <- seq(ymin, ymax, length.out=nrow(legend)+1)
83
-
84
-##     ymin <- yy[1:nrow(legend)]
85
-##     ymax <- yy[2:length(yy)]
86
-##     y <- (ymin+ymax)/2
87
-
88
-##     i <- seq(1, length(y), length.out = 5) %>% round(0)
89
-##     offset <- diff(range(p$data$x))/40
90
-##     barwidth <- offset/5
91
-    
92
-##     p + annotate("text", x=x+offset*1.5, y=y[i], label=legend[i,1], size=font.size, hjust=0) +
93
-##         annotate("rect", xmin=x, xmax=x+offset, ymin=ymin,
94
-##                  ymax = ymax, fill=legend[,2], color=legend[,2]) +
95
-##                      annotate("segment", x=x, xend=x+barwidth, y=y[i], yend=y[i], color="white") +
96
-##                          annotate("segment", x=x+offset-barwidth, xend=x+offset, y=y[i], yend=y[i], color="white")
97
-    
98
-## }
99
-
100
-
101
-
102
-
103
-## ## @importFrom colorspace rainbow_hcl
104
-## scale_color_ <- function(phylo, by, low=NULL, high=NULL, na.color=NULL, default.color="darkgrey", interval=NULL) {
105
-##     df <- fortify(phylo)    
106
-##     vals <- df[, by]
107
-
108
-##     MIN=min(vals, na.rm=TRUE)
109
-##     MAX=max(vals, na.rm=TRUE)
110
-
111
-##     if (is.null(interval)) {
112
-##         interval <- seq(MIN, MAX, length.out=100)
113
-##     }
114
-##     n <- length(interval)
115
-    
116
-##     if (!is.null(low) & ! is.null(high)) {
117
-##         cols <- color_scale(low, high, n)
118
-##     } else {
119
-##         colorspace <- "colorspace"
120
-##         require(colorspace, character.only = TRUE)
121
-##         rainbow_hcl <- eval(parse(text="rainbow_hcl"))
122
-##         cols <- rainbow_hcl(n)
123
-##     }
124
-
125
-##     idx <- getIdx(vals, MIN=MIN, MAX=MAX, interval=interval)
126
-##     interval <- attr(idx, "interval")
127
-    
128
-##     df$color <- cols[idx]
129
-
130
-##     tree <- get.tree(phylo)
131
-    
132
-##     if (is.null(na.color)) {
133
-##         nodes <- getNodes_by_postorder(tree)
134
-##         for (curNode in nodes) {
135
-##             children <- getChild(tree, curNode)
136
-##             if (length(children) == 0) {
137
-##                 next
138
-##             }
139
-##             idx <- which(is.na(df[children, "color"]))
140
-##             if (length(idx) > 0) {
141
-##                 df[children[idx], "color"] <- df[curNode, "color"]
142
-##             }
143
-##         }
144
-##         ii <- which(is.na(df[, "color"]))
145
-##         if (length(ii) > 0) {
146
-##             df[ii, "color"] <- default.color
147
-##         }
148
-##     } else {
149
-##         ii <- which(is.na(df[, "color"]))
150
-##         if (length(ii) > 0) {
151
-##             df[ii, "color"] <- na.color
152
-##         }
153
-##     }
154
-
155
-##     ## cols[is.na(cols)] <- "grey"
156
-##     color <- df$color
157
-
158
-##     attr(color, "scale") <- list(interval=interval, color=cols)
159
-##     return(color)
160
-## }
1
+##' scale color by a numerical tree attribute
2
+##'
3
+##'
4
+##' @rdname scale_color-methods
5
+##' @exportMethod scale_color
6
+setMethod("scale_color", signature(object="beast"),
7
+          function(object, by, ...) {
8
+              scale_color_(object, by, ...)
9
+          })
10
+
11
+
12
+##' @rdname scale_color-methods
13
+##' @exportMethod scale_color
14
+setMethod("scale_color", signature(object="treedata"),
15
+          function(object, by, ...) {
16
+              scale_color_(object, by, ...)
17
+          })
18
+
19
+##' @rdname scale_color-methods
20
+##' @exportMethod scale_color
21
+setMethod("scale_color", signature(object="paml_rst"),
22
+          function(object, by, ...) {
23
+              scale_color_(object, by, ...)
24
+          })
25
+
26
+
27
+##' @rdname scale_color-methods
28
+##' @exportMethod scale_color
29
+setMethod("scale_color", signature(object="phylo"),
30
+          function(object, by, ...) {
31
+              scale_color_(object, by, ...)
32
+          })
33
+
34
+
35
+##' add colorbar legend
36
+##'
37
+##'
38
+##' @title add_colorbar
39
+##' @param p tree view
40
+##' @param color output of scale_color function
41
+##' @param x x position
42
+##' @param ymin ymin
43
+##' @param ymax ymax
44
+##' @param font.size font size
45
+##' @return ggplot2 object
46
+##' @export
47
+##' @importFrom ggplot2 annotate
48
+##' @author Guangchuang Yu
49
+add_colorbar <- function(p, color, x=NULL, ymin=NULL, ymax=NULL, font.size=4) {
50
+    mrsd <- attr(p, "mrsd")
51
+    if (!is.null(mrsd)) {
52
+        attr(p, "mrsd") <- NULL
53
+
54
+        p$data$x <- Date2decimal(p$data$x)
55
+        p$data$branch <- Date2decimal(p$data$branch)
56
+        ## annotation segment not support using Date as x-axis
57
+    }
58
+
59
+    legend <- do.call("cbind", attr(color, "scale"))
60
+
61
+    legend[,1] <- round(as.numeric(legend[,1]), 2)
62
+
63
+    ## legend[nrow(legend),1] <- paste(">=", legend[nrow(legend),1])
64
+
65
+    if (is.null(x)) {
66
+        xx <- range(p$data$x)
67
+        x <- min(xx)+diff(xx)/100
68
+    }
69
+
70
+    yy <- range(p$data$y)
71
+    if (is.null(ymin)) {
72
+        if (is.null(ymax)) {
73
+            ymax <- max(yy) - diff(yy)/100
74
+        }
75
+        ymin <- ymax - diff(yy)/15
76
+    }
77
+
78
+    if (is.null(ymax)) {
79
+        ymax <- ymin + diff(yy)/15
80
+    }
81
+
82
+    yy <- seq(ymin, ymax, length.out=nrow(legend)+1)
83
+
84
+    ymin <- yy[1:nrow(legend)]
85
+    ymax <- yy[2:length(yy)]
86
+    y <- (ymin+ymax)/2
87
+
88
+    i <- seq(1, length(y), length.out = 5) %>% round(0)
89
+    offset <- diff(range(p$data$x))/40
90
+    barwidth <- offset/5
91
+
92
+    p + annotate("text", x=x+offset*1.5, y=y[i], label=legend[i,1], size=font.size, hjust=0) +
93
+        annotate("rect", xmin=x, xmax=x+offset, ymin=ymin,
94
+                 ymax = ymax, fill=legend[,2], color=legend[,2]) +
95
+                     annotate("segment", x=x, xend=x+barwidth, y=y[i], yend=y[i], color="white") +
96
+                         annotate("segment", x=x+offset-barwidth, xend=x+offset, y=y[i], yend=y[i], color="white")
97
+
98
+}
99
+
100
+
101
+
102
+
103
+## @importFrom colorspace rainbow_hcl
104
+scale_color_ <- function(phylo, by, low=NULL, high=NULL, na.color=NULL, default.color="darkgrey", interval=NULL) {
105
+    df <- fortify(phylo)
106
+    vals <- df[, by]
107
+
108
+    MIN=min(vals, na.rm=TRUE)
109
+    MAX=max(vals, na.rm=TRUE)
110
+
111
+    if (is.null(interval)) {
112
+        interval <- seq(MIN, MAX, length.out=100)
113
+    }
114
+    n <- length(interval)
115
+
116
+    if (!is.null(low) & ! is.null(high)) {
117
+        cols <- color_scale(low, high, n)
118
+    } else {
119
+        colorspace <- "colorspace"
120
+        require(colorspace, character.only = TRUE)
121
+        rainbow_hcl <- eval(parse(text="rainbow_hcl"))
122
+        cols <- rainbow_hcl(n)
123
+    }
124
+
125
+    idx <- getIdx(vals, MIN=MIN, MAX=MAX, interval=interval)
126
+    interval <- attr(idx, "interval")
127
+
128
+    df$color <- cols[idx]
129
+
130
+    tree <- get.tree(phylo)
131
+
132
+    if (is.null(na.color)) {
133
+        nodes <- getNodes_by_postorder(tree)
134
+        for (curNode in nodes) {
135
+            children <- getChild(tree, curNode)
136
+            if (length(children) == 0) {
137
+                next
138
+            }
139
+            idx <- which(is.na(df[children, "color"]))
140
+            if (length(idx) > 0) {
141
+                df[children[idx], "color"] <- df[curNode, "color"]
142
+            }
143
+        }
144
+        ii <- which(is.na(df[, "color"]))
145
+        if (length(ii) > 0) {
146
+            df[ii, "color"] <- default.color
147
+        }
148
+    } else {
149
+        ii <- which(is.na(df[, "color"]))
150
+        if (length(ii) > 0) {
151
+            df[ii, "color"] <- na.color
152
+        }
153
+    }
154
+
155
+    ## cols[is.na(cols)] <- "grey"
156
+    color <- df$color
157
+
158
+    attr(color, "scale") <- list(interval=interval, color=cols)
159
+    return(color)
160
+}
161 161
 
162 162
 
... ...
@@ -297,22 +297,22 @@ reverse.treeview.data <- function(df) {
297 297
 ##     return(phylo)
298 298
 ## }
299 299
 
300
-## extract.treeinfo.jplace <- function(object, layout="phylogram", ladderize=TRUE, right=FALSE, ...) {
300
+extract.treeinfo.jplace <- function(object, layout="rectangular", ladderize=TRUE, right=FALSE, ...) {
301 301
 
302
-##     tree <- get.tree(object)
302
+    tree <- get.tree(object)
303 303
 
304
-##     df <- fortify.phylo(tree, layout=layout, ladderize=ladderize, right=right, ...)
304
+    df <- fortify.phylo(tree, layout=layout, ladderize=ladderize, right=right, ...)
305 305
 
306
-##     edgeNum.df <- attr(tree, "edgeNum")
307
-##     if (!is.null(edgeNum.df)) {
308
-##         df2 <- merge(df, edgeNum.df, by.x="node", by.y="node", all.x=TRUE)
309
-##         df <- df2[match(df[, "node"], df2[, "node"]),]
310
-##     }
306
+    edgeNum.df <- attr(tree, "edgeNum")
307
+    if (!is.null(edgeNum.df)) {
308
+        df2 <- merge(df, edgeNum.df, by.x="node", by.y="node", all.x=TRUE)
309
+        df <- df2[match(df[, "node"], df2[, "node"]),]
310
+    }
311 311
 
312
-##     attr(df, "ladderize") <- ladderize
313
-##     attr(df, "right") <- right
314
-##     return(df)
315
-## }
312
+    attr(df, "ladderize") <- ladderize
313
+    attr(df, "right") <- right
314
+    return(df)
315
+}
316 316
 
317 317
 ## ## convert edge number to node number for EPA/pplacer output
318 318
 ## edgeNum2nodeNum <- function(jp, edgeNum) {
319 319
deleted file mode 100644
... ...
@@ -1 +0,0 @@
1
-(((ADH2:0.1[&&NHX:S=human], ADH1:0.11[&&NHX:S=human]):0.05[&&NHX:S=primates:D=Y:B=100], ADHY:0.1[&&NHX:S=nematode],ADHX:0.12[&&NHX:S=insect]):0.1[&&NHX:S=metazoa:D=N], (ADH4:0.09[&&NHX:S=yeast],ADH3:0.13[&&NHX:S=yeast], ADH2:0.12[&&NHX:S=yeast],ADH1:0.11[&&NHX:S=yeast]):0.1 [&&NHX:S=Fungi])[&&NHX:D=N];
2 0
\ No newline at end of file
3 1
deleted file mode 100755
... ...
@@ -1,43 +0,0 @@
1
-#NEXUS
2
-
3
-Begin taxa;
4
-	Dimensions ntax=15;
5
-	Taxlabels
6
-		A_1995
7
-		B_1996
8
-		C_1995
9
-		D_1987
10
-		E_1996
11
-		F_1997
12
-		G_1992
13
-		H_1992
14
-		I_1994
15
-		J_1983
16
-		K_2013
17
-		L_1980
18
-		M_1997
19
-		N_2010
20
-		O_1998
21
-		;
22
-End;
23
-
24
-Begin trees;
25
-	Translate
26
-		1 A_1995,
27
-		2 B_1996,
28
-		3 C_1995,
29
-		4 D_1987,
30
-		5 E_1996,
31
-		6 F_1997,
32
-		7 G_1992,
33
-		8 H_1992,
34
-		9 I_1994,
35
-		10 J_1983,
36
-		11 K_2013,
37
-		12 L_1980,
38
-		13 M_1997,
39
-		14 N_2010,
40
-		15 O_1998
41
-		;
42
-tree TREE1 = [&R] (((11[&rate_range={0.0018985405694149748,0.005499473294363702},length_range={5.941039739620447,15.103974853365651},length_95%_HPD={7.322099111116467,11.624410805545125},height=0.0,rate=0.0029201381990576446,rate_median=0.00290446666537452,length=9.470517085164637,length_median=9.385096430786298,rate_95%_HPD={0.002327042663307498,0.003545195845584415}]:9.385096430786298,14[&rate_range={0.0016286170228414286,0.004924065374051862},length_range={2.9410397396204466,12.103974853365651},length_95%_HPD={4.322099111116467,8.624410805545125},height=3.0,rate=0.0029046712345038575,rate_median=0.002894040280462541,length=6.47051708516462,length_median=6.385096430786298,rate_95%_HPD={0.0022442766825820585,0.0035385035360908155}]:6.385096430786298)[&height_95%_HPD={7.322099111116469,11.624410805545125},length_range={15.724675549523745,36.72403651916805},length_95%_HPD={22.048771671275617,30.115400624425263},height_range={5.941039739620447,15.10397485336565},rate_95%_HPD={0.00237138786088183,0.0034784158116179195},rate_range={0.0018410123833317064,0.004221113122306114},height_median=9.385096430786298,rate=0.0029074382448820114,height=9.470517085164637,posterior=1.0,rate_median=0.002896909674386843,length=25.719898216070327,length_median=25.579167352568767]:25.43656682196353,4[&rate_range={0.0012952503972904472,0.00607832777082667},height_95%_HPD={26.0,26.0},length_range={3.1994774159685413,18.82787328822321},height_median=26.0,length_95%_HPD={5.308840020390441,13.438764103034949},height=26.0,rate=0.002924273388338787,height_range={25.999999999999993,26.000000000000007},rate_median=0.0029060937027348497,length=9.14131056894944,length_median=8.97486801838459,rate_95%_HPD={0.0021595629511043674,0.0035790878327513283}]:8.821663252749829)[&height_95%_HPD={31.424491578793983,38.72173639220357},length_range={0.006034151816699307,7.710713928814901},length_95%_HPD={0.3064036539985011,5.177672993823904},height_range={29.19947741596854,42.86605037129657},rate_95%_HPD={0.0023114970475423416,0.0035889042843810733},rate_range={0.0013736989022372617,0.0050234426880329435},height_median=34.82166325274983,rate=0.002922564275661852,height=34.892481158094604,posterior=0.941124194623417,rate_median=0.002909586916036731,length=3.0146714387172726,length_median=3.014437920595718]:3.1044254070145954,(12[&rate_range={0.0011894655609126846,0.005063562483853383},height_95%_HPD={33.0,33.0},length_range={0.004867974022467081,2.4165284569556675},height_median=33.0,length_95%_HPD={0.06521578858480126,1.2807198792124836},height=33.0,rate=0.0029035800134507893,height_range={32.99999999999999,33.00000000000001},rate_median=0.00289561150523617,length=0.6159932996275818,length_median=0.5651787519661866,rate_95%_HPD={0.002247982925766173,0.003563006335474016}]:0.5651787519661866,(10[&rate_range={0.0011908072712212856,0.005499473294363702},height_95%_HPD={30.0,30.0},length_range={0.32050714734836205,3.540496218322332},height_median=30.0,length_95%_HPD={0.7237604360518439,2.5793552536628965},height=30.0,rate=0.002904168059219689,height_range={29.999999999999993,30.000000000000007},rate_median=0.0028922772557908624,length=1.6002660228850776,length_median=1.5614319656278823,rate_95%_HPD={0.0022606850856099767,0.0035983221916164447}]:1.5614319656278823,(7[&rate_range={0.001416128514121561,0.004834328103917153},height_95%_HPD={21.0,21.0},length_range={2.933492707218676,8.35046204253208},height_median=21.0,length_95%_HPD={4.027377213294393,6.644084283024775},height=21.0,rate=0.0029126485028421432,height_range={20.999999999999993,21.000000000000007},rate_median=0.0029006798521738174,length=5.212768669347575,length_median=5.193972254430712,rate_95%_HPD={0.002302987481745105,0.003542607833130218}]:5.193972254430712,((((2[&rate_range={0.0017598392811698684,0.005016409554424679},height_95%_HPD={17.0,17.0},length_range={2.0792675983921,5.066305444453668},height_median=17.0,length_95%_HPD={2.5335883290778085,4.140102928571505},height=17.0,rate=0.0029313752237024346,height_range={16.999999999999993,17.000000000000007},rate_median=0.00291116543054281,length=3.301747717349106,length_median=3.282059786897289,rate_95%_HPD={0.0022724788824010993,0.0035412350438672234}]:3.26195447365863,(1[&rate_range={0.0013915163850006223,0.005278699019523131},height_95%_HPD={18.0,18.0},length_range={0.2653240053303314,3.0738477704317866},height_median=18.0,length_95%_HPD={0.6851789188686901,2.103544837145563},height=18.0,rate=0.0029102477038226823,height_range={17.999999999999993,18.000000000000007},rate_median=0.0028943272379052384,length=1.344156943808417,length_median=1.3212658013496608,rate_95%_HPD={0.002231134756681312,0.003564513436078316}]:1.3203366363911968,(6[&rate_range={0.0011894655609126846,0.00607832777082667},height_95%_HPD={16.0,16.0},length_range={0.24483144082356034,1.9701428525089781},height_median=16.0,length_95%_HPD={0.40058088989495744,1.315798331432319},height=16.0,rate=0.0029081788066754573,height_range={15.999999999999993,16.000000000000007},rate_median=0.00289409732924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43
-End;
44 0
deleted file mode 100755
... ...
@@ -1,42 +0,0 @@
1
-#NEXUS
2
-
3
-[
4
-Generated by HYPHY 2.0020110620beta(MP) for MacOS(Universal Binary) on Tue Dec 23 13:52:34 2014
5
-
6
-]
7
-
8
-BEGIN TAXA;
9
-	DIMENSIONS NTAX = 13;
10
-	TAXLABELS
11
-		'Node1' 'Node2' 'Node3' 'Node4' 'Node5' 'Node12' 'Node13' 'Node15' 'Node18' 'Node20' 'Node22' 'Node24' 'Node26' ;
12
-END;
13
-
14
-BEGIN CHARACTERS;
15
-	DIMENSIONS NCHAR = 2148;
16
-	FORMAT
17
-		DATATYPE = DNA
18
-
19
-		GAP=-
20
-		MISSING=?
21
-		NOLABELS
22
-	;
23
-
24
-MATRIX
25
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGTTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTAACGAGGAGGGAAGTCCACATATACTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCCCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACATTCTTCGGATGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTGGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAAAAGGTGGACTTTGAAGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGATAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGAAGGAACTATTTTACAGCGGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCGAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTCCTGTATGTGAGAACCAATGGGACTTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAGGAAGGCTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGGAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
26
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCAGCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACAATTATAGAATCTGGCGATCCAAATGCGTTATTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGCGGAGGGAAGTCCACATATACTACCTAGAAAAAGCCAACAAGATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAAATGGCCACCAAAGCAGATTACACTCTTGACGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGTCCCCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCATGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACATTCTTCGGATGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGGCTTGGAAGCAGGTACTGGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTGAAGTGGGCACTCGGTGAGAACATGGCACCGGAAAAAGTGGACTTTGAAGATTGCAAAGATGTCAGCGATCTGAAACAGTATGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGATAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATTGAGCACATTGCAAGCATGAGAAGGAACTATTTCACAGCGGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAATTTTGTAAGTATGGAGTTTTCCCTTACCGACCCGAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTCCTGTATGTGAGAACCAATGGGACTTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCTTCCGTCAAAGAGAAAGACTTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAGGAAGGCTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAGA
27
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCAGCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCGGATTTCCACTTCATTGACGAACGAGGCGAATCAACAATTATAGAATCTGGCGATCCAAATGCGTTATTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGCGGAGGGAAGTCCACATATACTACCTAGAAAAAGCCAACAAGATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAAATGGCCACCAAAGCAGATTACACTCTTGATGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGACAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATTGAGCCATTTCTAAGGACAACACCACGTCCCCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCATGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACATTCTTCGGATGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGGCTTGGAAGCAGGTACTGGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTGAAGTGGGCACTCGGTGAGAACATGGCACCAGAAAAAGTGGACTTTGAAGATTGCAAAGATGTCAGCGATCTGAAACAGTATGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGATAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATTGAGCACATTGCAAGCATGAGAAGGAACTATTTCACAGCGGAAGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAATCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAATTTTGTGAGTATGGAGTTTTCCCTTACCGACCCGAGGCTGGAACCACATAAATGGGAAAAGTACTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTCCTGTATGTGAGAACCAATGGGACTTCCAAAATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCTTCCGTCAAAGAGAAAGACTTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAGGAAGGCTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAGA
28
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCAGCAATATGCACACACTTAGAAGTCTGCTTCATGTATTCGGATTTCCACTTCATTGACGAACGAGGCGAATCAATAATTGTAGAATCTGGCGATCCAAATGCATTATTGAAACACCGATTTGAAATAATTGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGGGGTCGAGAAACCCAAATTTCTCCCTGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGCGGAGGGAAGTCCACATATACTACCTAGAAAAAGCCAACAAGATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAAATGGCCACCAAAGCAGATTACACTCTTGATGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGACAAGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATTGAGCCATTTCTGAAGACAACACCACGTCCCCTCAGATTGCCTGATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCATGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACATTCTTCGGCTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGGCTTGGAAGCAGGTACTGGCAGAACTTCAGGATATTGAAAATGAAGAGAAAATCCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTGAAGTGGGCACTCGGTGAGAACATGGCACCAGAAAAAGTGGACTTTGAAGATTGCAAAGATGTCAGCGATCTGAAACAGTATGACAGTGATGAGCCAGAGCCCAGATCACTAGCAAGCTGGATCCAGAGTGAATTCAACAAGGCATGCGAATTGACTGATTCAAGCTGGATAGAACTTGATGAAATAGGGGAAGATGTTGCTCCAATTGAGCACATTGCAAGCATGAGAAGGAACTATTTCACAGCGGAAGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTCTGCTCAATGCATCCTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGGACCAAAGAAGGGAGACGGAAAACAAATCTGTATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGATGTGGTAAACTTTGTGAGTATGGAGTTTTCTCTTACCGACCCGAGGCTGGAACCACACAAGTGGGAAAAGTACTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAATAGGCCAAGTGTCAAGGCCCATGTTCCTGTATGTGAGAACCAATGGGACTTCCAAAATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCCCTTCAACAGATTGAGAGCATGATTGAGGCTGAATCTTCCGTCAAAGAGAAAGACATGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAGTCACCCAAGGGAGTGGAGGAAGGCTCCATTGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGGGGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTGAGA
29
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATTGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTTGCCGCAATATGCACACACTTAGAAGTCTGTTTCATGTATTCGGATTTCCACTTTATTGATGAACGAGGCGAATCAATAATTGTAGAATCTGGCGATCCGAATGCATTATTGAAACACCGATTTGAGATAATTGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGGGGTCGATAAGCCTAAATTCCTCCCTGATTTGTATGACTACAAAGAAAACCGATTCATTGAAATTGGAGTGACGCGAAGGGAAGTTCACATATACTATCTAGAAAAAGCCAACAAGATAAAATCAGAGAAGACACACATTCACATATTCTCATTCACTGGAGAGGAAATGGCCACCAAAGCAGACTACACTCTTGATGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGACAAGAAATGGCCAGTAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAGAGAGGCGAAGAGACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATTGAGCCATTTCTGAAGACAACACCACGCCCTCTCAGATTGCCTGATGGGCCTCCCTGCTCTCAGCGGTCGAAGTTCTTGCTGATGGATGCTCTTAAATTAAGCATCGAAGACCCGAGCCATGAGGGGGAAGGTATACCGCTATATGATGCAATCAAATGCATGAAGACATTTTTCGGCTGGAAAGAGCCCAACATCGTAAAACCACATGAAAAAGGCATAAACCCCAATTACCTCCTGGCTTGGAAGCAGGTGCTGGCAGAACTCCAAGATATTGAAAATGAAGAGAAAATCCCAAAAACAAAGAACATGAAGAAAACAAGCCAATTGAAGTGGGCACTTGGTGAGAATATGGCACCAGAAAAAGTGGACTTTGAGGACTGCAAAGATGTTAGCGATCTAAGACAGTATGACAGTGATGAACCAGAGTCTAGATCGCTAGCAAGCTGGATCCAGAGTGAATTCAACAAGGCATGCGAATTGACAGATTCGAGTTGGATTGAACTTGATGAAATAGGGGAAGACGTTGCTCCAATTGAGCACATTGCGAGTATGAGAAGGAACTATTTCACAGCGGAAGTATCCCATTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAACACAGCCCTGTTGAATGCATCCTGTGCAGCCATGGATGACTTCCAACTGATTCCAATGATAAGCAAGTGCAGGACCAAAGAAGGGAGACGGAAGACAAATCTGTATGGATTCATTATAAAAGGAAGATCCCATTTGAGGAATGACACCGATGTGGTAAACTTTGTGAGCATGGAATTCTCTCTTACTGACCCGAGGCTGGAGCCACACAAGTGGGAAAAGTACTGTGTTCTTGAGATAGGAGACATGCTCCTACGGACTGCAATAGGCCAAGTGTCAAGGCCCATGTTCCTGTATGTGAGAACCAATGGGACTTCCAAGATCAAGATGAAATGGGGCATGGAGATGAGGCGATGCCTTCTTCAATCCCTTCAACAAATTGAGAGCATGATTGAGGCCGAGTCTTCTGTCAAAGAGAAGGACATGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCCCCCAAAGGAGTGGAGGAAGGCTCCATTGGGAAGGTGTGCAGAACATTACTAGCAAAATCTGTGTTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTTTCAGCTGAATCAAGAAAATTGCTTCTCATTGTTCAGGCACTTAGGGACAACCTGGAACCTGGAACCTTCGATCTTGGGGGGCTATATGAAGCAATTGAGGAGTGCCTGATTAACGATCCCTGGGTTTTGCTTAATGCGTCTTGGTTCAACTCCTTCCTCACACATGCACTGAAA
30
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGTTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTAACGAGGAGGGAAGTCCACATATACTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAAGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
31
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACCATTATAGAATCTGGCGATCCAAATGCATTGTTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTAACGAGGAGGGAAGTCCACATATACTACCTAGAGAAAGCCAATAAAATAAAATCAGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCATGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAAAACATGGCACCGGAGAAGGTAGACTTTGAAGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATTCAGAATGAATTCAACAAGGCATGTGAATTGACCGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGATTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAATTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
32
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACCATTATAGAATCTGGCGATCCAAATGCACTGTTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGCATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTAACGAGGAGGGAAGTCCACATATACTACCTAGAGAAAGCCAATAAAATAAAATCAGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAGAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCATGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAAAACATGGCACCGGAGAAAGTAGACTTTGAAGACTGCAAAGATGTCAACGACCTGAAACAGTATGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATTCAGAATGAATTCAACAAGGCATGTGAATTGACCGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGATTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTTCTGTATGTTAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAATTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
33
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACGAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATTGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGTTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAGAAACCCAAATTTCTTCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTAACGAGGAGGGAAGTCCACATATACTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAAAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAAGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCGGCCATGGATGACTTTCAACTGATTCCAATGATAAGCAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGGCCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGAAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCACAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
34
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACAAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATCGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGCTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAAAAACCCAAATTTCTCCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGAGGAGGGAAGTCCACATATATTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAAAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAAGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAGGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCAGCCATGGATGACTTTCAACTGATTCCAATGATAAGTAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGACGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGACCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGGAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCGCAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
35
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACAAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATCGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGCTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAAAAACCCAAATTTCTCCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGAGGAGGGAAGTCCACATATATTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAAAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAGGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAGGATTGCAAAGATGTCAACGACCTGAAACAGTACGACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCATGTGAATTGACTGATTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCAGCCATGGATGACTTTCAACTGATTCCAATGATAAGTAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGATGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGACCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGGAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCGCAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
36
- ATGGAAGACTTTGTGCGACAATGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACAAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATCGACGAACGAGGCGAATCAACTATTATAGAATCTGGCGATCCAAATGCGTTGCTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACGGGAGTCGAAAAACCCAAATTTCTCCCGGATCTGTATGACTACAAGGAAAACCGATTCATTGAAATTGGAGTGACGAGGAGGGAAGTCCACATATATTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCACATTTTCTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAAAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCCGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAAATGTCAAAAGAAGTGAACGCCAGAATCGAGCCATTTCTAAGGACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAGGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAGGATTGCAAAGATGTCAACGACTTGAAACAGTACAACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCGTGTGAACTGACTGACTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATACATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCAGCCATGGATGACTTTCAACTGATTCCAATGATAAGTAAATGCAGAACCAAAGAAGGAAGACGGAAAACAAACCTATATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGATGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGACCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAATCACCTAAGGGAGTGGAGGAAGGTTCCATCGGGAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCGCAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTCGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA
37
- ATGGAAGACTTTGTGCGACAGTGCTTCAATCCAATGATCGTCGAGCTTGCGGAAAAGGCAATGAAAGAATATGGGGAAGATCCGAAAATCGAAACAAACAAATTCGCATCAATATGCACACACTTAGAAGTCTGCTTCATGTACTCTGATTTCCACTTCATCGACGAACGAGGCGAATCAACTATAATAGAATCTGGCGATCCAAATGCGCTGCTGAAACACCGATTTGAAATAATCGAAGGGAGAGACCGAACAATGGCCTGGACAGTGGTGAATAGTATCTGCAACACCACAGGAGCCGAAAAACCCAAATTTCTCCCGGATCTGTATGACTACAAGGAAAACCGTTTCATTGAAATTGGAGTGACGAGGAGGGAAGTCCACATATATTACCTAGAGAAAGCCAATAAAATAAAATCCGAGAAGACACACATCCATATTTTTTCATTCACTGGAGAAGAGATGGCCACCAAAGCAGATTACACTCTTGACGAAGAAAGCAGGGCAAGAATCAAAACCAGGCTGTTCACCATAAGGCAGGAAATGGCCAGCAGGGGTCTATGGGATTCCTTTCGTCAGTCTGAAAGAGGCGAAGAAACAATTGAAGAAAGATTTGAAATCACAGGAACCATGCGCAGGCTTGCCGACCAAAGTCTCCCACCGAACTTCTCCAGCCTTGAAAACTTTAGAGCCTATGTGGATGGATTCGAACCGAACGGCTGCATTGAGGGCAAGCTTTCTCAGATGTCAAAAGAAGTGAACGCCAGAATTGAGCCATTTCTAAGAACAACACCACGCCCTCTCAGATTGCCTAATGGGCCTCCCTGCTCTCAGCGGTCGAAATTCTTGCTGATGGATGCTCTGAAATTAAGCATTGAGGACCCGAGCCACGAAGGGGAGGGGATACCGCTATATGATGCGATCAAATGCATGAAAACGTTCTTCGGGTGGAAAGAGCCCAACATTATCAAACCACATGAGAAAGGCATAAACCCCAATTATCTCCTGACTTGGAAGCAGGTGCTAGCAGAACTTCAGGACATTGAAAATGAAGAGAAGATTCCAAGGACAAAGAACATGAAGAAAACAAGCCAATTAAAGTGGGCACTCGGTGAGAACATGGCACCGGAGAAGGTGGACTTTGAGGATTGCAAAGATGTCAACGACTTGAAACAGTACAACAGTGATGAGCCAGAGCCCAGATCACTAGCATGTTGGATCCAGAATGAATTCAACAAGGCGTGTGAACTGACTGACTCAAGCTGGGTAGAACTTGATGAAATAGGGGAAGATGTTGCCCCAATCGAACACATTGCAAGCATGAGACGGAACTATTTTACAGCAGAGGTGTCCCACTGCAGGGCTACTGAATATATAATGAAGGGAGTGTACATAAATACAGCTTTGCTCAATGCATCTTGTGCAGCCATGGATGACTTTCAACTGATTCCAATGATAAGTAAATGTAGAACCAAAGAAGGAAGACGGAAAACAAACCTGTATGGATTCATTATAAAAGGAAGATCTCATTTGAGGAATGATACCGATGTGGTAAACTTTGTAAGTATGGAATTTTCCCTTACCGACCCAAGGTTGGAACCACATAAATGGGAAAAGTATTGTGTTCTTGAAATAGGGGACATGCTCCTGCGAACTGCAGTAGGCCAAGTGTCAAGACCCATGTTTCTGTATGTGAGAACCAATGGGACCTCCAAGATCAAGATGAAATGGGGTATGGAAATGAGACGCTGCCTTCTTCAATCTCTCCAACAGATTGAGAGCATGATTGAAGCTGAATCCTCCGTCAAAGAGAAAGACCTGACCAAAGAATTCTTTGAAAACAAATCAGAAACATGGCCAATTGGAGAGTCACCTAAAGGAGTGGAGGAAGGTTCCATCGGGAAGGTGTGCAGAACCTTACTAGCAAAATCTGTATTCAACAGCCTATATGCATCTCCGCAACTCGAGGGGTTCTCAGCTGAATCGAGAAAACTGCTACTCATTGTTCAGGCGCTTAGGGATAACCTGGAACCTGGAACCTTTGATCTTGAAGGGCTATATGAAGCAATCGAGGAGTGCCTGATTAATGATCCCTGGGTTTTGCTTAATGCATCTTGGTTCAACTCCTTCCTCACACATGCACTAAGA;
38
-END;
39
-
40
-BEGIN TREES;
41
-	TREE tree = (K,N,(D,(L,(J,(G,((C,(E,O)),(H,(I,(B,(A,(F,M)))))))))));
42
-END;
43 0
\ No newline at end of file
44 1
deleted file mode 100755
... ...
@@ -1 +0,0 @@
1
-(((((K:0.0245151,N:0.019108)Node5:0.0719836,D:0.0258507)Node4:0.0185486,L:0.00160607)Node3:0.00490454,J:0.00421135)Node2:0.0145442,G:0.0145687,((C:0.00886983,(E:0.0100596,O:0.0151697)Node15:0.00245533)Node13:0.00507224,(H:0.00666253,(I:0.00466618,(B:0.0102692,(A:0.00371759,(F:0.00224482,M:0.00291844)Node26:0.0086479)Node24:0.00258943)Node22:0.000928848)Node20:0.0063651)Node18:0.000322412)Node12:0.00749778);
2 0
\ No newline at end of file
3 1
deleted file mode 100755
... ...
@@ -1,128 +0,0 @@
1
-     15   2148
2
-
3
-A                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TCGACGAACG AGGCGAATCA ACTATTATAG AATCTGGCGA TCCAAATGCG TTGTTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACTGGAGTC GAAAAACCCA AATTTCTCCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACGA GGAGGGAAGT CCACATATAT TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAAGACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATCATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAGGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA GAAGGTGGAC TTTGAGGATT GCAAAGATGT CAACGACTTG AAACAGTACA ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CGTGTGAACT GACTGACTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCAGCCAT GGATGACTTT CAACTGATTC CAATGATAAG TAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGATGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA TATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGACCC ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAGAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CACCTAAGGG AGTGGAGGAA GGTTCCATCG GGAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA TAGCCTATAT GCATCTCCGC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATT GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
4
-B                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TCGACGAACG AGGCGAATCA ACTATTATAG AATCTGGCGA TCCAAATGCG TTGCTGAAAC ATCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGGGAGTC GAAAAACCCA AATTTCTCCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACGA GGAGGGAAGT CCACATATAT TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGAGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GAAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAAGACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGTTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACTT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAACT ATCTCCTGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAGAAT GAAGAGAAGA TTCCAAGGAC AAAGAACATG AAAAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA GAAGGTGGAC TTTGAGGATT GCAAAGATGT CAACGACCTG AAACAGTACG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CATGTGAATT GACTGATTCA AGTTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGAA ACTATTTTAC GGCTGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTCTGCTC AATGCATCTT GTGCAGCCAT GGATGACTTC CAACTGATTC CAATGATAAG TAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGATGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGACCC ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GTCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAGGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CACCTAAGGG AGTGGAGGAA GGTTCCATCG GGAAGGTGTG TAGAACCTTA CTAGCAAAAT CTGTATTCAA TAGCCTATAT GCATCTCCGC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCACTTAGGG ACAACCTGGA ACCTGGAACC TTTGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
5
-C                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TTGACGAACG AGGCGAATCA ACCATTATAG AATCTGGCGA TCCGAATGCA TTGTTGAAAC ATCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGGGAGTC GAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTAACGA GGAGGGAAGT CCACATATAC TACCTAGAGA AAGCCAATAA AATAAAATCA GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAGAG CAGAGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAGGACAA CACCACGCCC TCTCAGATTG CCTAGTGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA TGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCATGAC TTGGAAGCAG GTTCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA CTCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTAAA ATGGGCACTC GGTGAAAACA TGGCACCGGA GAAGGTAGAC TTTGAAGATT GCAAAGATGT CAACGACCTG AAACAATACG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT TCAGAATGAA TTCAACAAGG CATGTGAATT GACCGATTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCTC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTT AATGCATCTT GTGCGGCCAT GGATGATTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACTGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACTGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTCCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAGGT GTCAAGGCCC ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CACCTAAAGG AGTTGAGGAA GGTTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGTCTGTAT GCATCTCCAC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AATTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
6
-D                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCAGC GATATGCACA CACTTAGAAG TCTGCTTCAT GTATTCGGAT TTCCACTTCA TTGACGAGCG AGGCGAATCA ATAATTGTAG AATCTGGCGA TCCAAATGCA CTGCTGAAAC ACCGATTTGA AATAATTGAA GGAAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACAGGGGTC GAGAAACCCA GATTACTCCC TGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACAC GGAGGGAAGT CCACATATAC TACCTAGAAA AAGCCAACAA GATAAAATCC GAAAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AAATGGCCAC CAAAGCCGAT TACACTCTTG ATGAAGAGAG CAGAGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGACAA GAAATGGCCA GCAGAGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAGACA ATTGAAGAAA GATTTGAAAT TACAGGAACC ATGCGTAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGGAT CGAACCATTC CTGAAGACAA CACCACGTCC CCTCAGATTG CCTGATGGGC CTCCTTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAGTTG AGCATTGAGG ACCCAAGTCA TGAAGGAGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACAT TCTTCGGCTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGTATA AACCCCAATT ATCTCTTGGC TTGGAAACAG GTACTGGCAG AACTTCAGGA TATTGAGAAT GAAGAGAAAA TTCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTGAA GTGGGCACTC GGTGAGAACA TGGCACCAGA AAAAGTGGAC TTTGATGATT GCAAAGATGT CAGCGATCTG AAACAGTATG ACAGTGATGA GCCAGAACCC AGATCACTAG CAAGCTGGAT CCAGAGTGAG TTCAACAAGG CATGCGAATT GACTGATTCA AGCTGGATAG AACTTGATGA GATAGGGGAA GATGTTGCTC CAATTGAGCA CATTGCAAGC ATGAGAAGGA ACTATTTCAC AGCGGAAGTG TCCCACTGCA GGGCCACTGA ATACATAATG AAGGGAGTGT ATATAAATAC AGCTCTGCTC AATGCATCCT GTGCGGCCAT GGATGACTCT CAGCTGATTC CAATGATAAG CAAATGCAGG ACCAAAGAAG GGAGACGGAA AACAAATCTG TATGGATTCA TCATAAAAGG AAGATCTCAC TTGAGGAACG ATACCGATGT GGTAAACTTC GTGAGTATGG AGTTTTCTCT TACCGACCCG AGGTTGGAAC CACACAAGTG GGAAAAGTAC TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAA TAGGCCAAGT ATCAAGGCCC ATGTTCCTAT ATGTAAGAAC CAATGGGACT TCCAAAATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA GTCCCTTCAA CAGATCGAGA GCATGACTGA GGCTGAATCT TCCGTCAAAG AGAAAGACAT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAGT CACCCAAGGG AGTGGAGGAA GGCTCCATTG GAAAGGTGTG CAGGACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCTCCAC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG GAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTGAGA
7
-E                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TTGACGAACG AGGTGAATCA ACCATTATAG AATCTGGCGA TCCAAATGCA CTGTTGAAAC ACCGATTTGA AATAATCGAA GGAAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGCA TCTGCAACAC CACGGGAGTC GAGAAACCCA AATTTCTTCC AGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTAACGA GGAGGGAAGT CCACATATAC TACCTAGAGA AAGCCAATAA AATAAAATCA GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAGAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CTCAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAGGACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCTC CCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAGGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGTTG GAAAGAGCCT AACATTATCA AACCACATGA GAAGGGCATA AACCCCAATT ATCTCATGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA TATTGAAAAT GAAGAGAAGA TTCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAAAACA TGGCACCGGA GAAAATAGAC TTTGAAGACT GCAAAGATGT CAACGACCTG AAACAGTATG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGCTGGAT TCAGAATGAA TTCAACAAGG CATGTGAACT GACCGATTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC GGCTTTGCTT AATGCATCTT GTGCGGCCAT GGATGATTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCACAT TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGCTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGGCCC ATGTTTCTGT ATGTTAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAGAGAA TTCTTTGAAA ACAAATCGGA AACATGGCCA ATTGGAGAAT CACCTAAGGG AGTGGAGGAA GGTTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAC GCATCTCCAC AACTCGAGGG GTTCTCAGCT GAATCAAGAA AATTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
8
-F                               ATGGAAGACT TTGTGCGACA GTGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TCGACGAACG AGGCGAATCA ACTATAATAG AATCTGGCGA TCCAAATGCG CTGCTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACAGGAGCC GAAAAACCCA AATTTCTCCC GGATCTGTAT GACTACAAGG AAAACCGTTT CATTGAAATT GGAGTGACGA GGAGGGAAGT CCACATATAT TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCATAT TTTTTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CTGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAGATGTCA AAAGAAGTGA ACGCCAGAAT TGAGCCATTT CTAAGAACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCCC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAGGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA GAAGGTGGAC TTTGAGGATT GCAAAGATGT CAACGACTTG AAACAGTACA ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CGTGTGAACT GACTGACTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCTCACTGCA GGGCTACTGA ATATATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCAGCCAT GGATGACTTT CAGCTGATTC CAATGATAAG TAAATGTAGA ACCAAAGAAG GAAGACGGAA AACAAACCTG TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGATCCTG CGAACTGCAG TAGGCCAAGT GTCAAGACCC ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAGT CACCTAAAGG AGTGGAGGAA GGTTCCATCG GGAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCTCCGC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTTGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
9
-G                               ATGGTAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAGT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCTCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCATTTCA TTGACGAACG AGGCGAATCA ACTATTATAG AATCTGGCGA TCCAAATGCG TTGTTGAAAC ACCGATTTGA AATAATTGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGAGAGTC CAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACCAGG AGAACCGATT CATTGAAATT GGAGTAACGA GGAGGGAAGT CCACATATAC TACCTAGAGA AAGCCAATAA AATAAAATCC GATAATACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAGAG TAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CTGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGCCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAACCATTT CTAAGGACAA CACCACGCCC CCTCAGATTG CCTAATGGCC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCTAGCTA CGAAGGGGAG GGAATACCGC TATATGATGC GATCAAATGC ATGAAAACAT TCTTCGGATG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGAC TTGGAAGCAG GTGCTGGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA AAAGGTGGAC TTTGAAGATT GCAAAGATGT CAACGACCTG AAACAGTACG ACAGTGATGA ACCGGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CATGTGAGTT GACTGATTCA AGCTGGATAG AACTTGATGA AATAGGAGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGAAGGA ACTATTTTAC AGCGGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTCTGCTC AATGCATCTT GTGCGGCCAT GGATGACTTT CAACTGATTC CAATTATAAG CAAATGTAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCG AGGTTGGAAC CACATAAATG GGAAAAGTAC TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCGAGGCCC ATGTTCCTTT ATGTGAGAAC CAATGGGACT TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAGT CACCCAAGGG AGTGGAGGAA GGCTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCACCAC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG GAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT ---------- ---------- ---------- ---------- --------
10
-H                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCATC AGTATGCACA CACTTAGAAG TATGCTTCAT GTACTCTGAT TTCCACTTCA TTGACGAACG AGGCGAATCA ACTATTATAG AATCTGGCGA TCCAAATGCG TTGTTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGGGAGTC GAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTAACGA GGAGGGAAGT CCACATATAC TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGATCCATTT CTAAGGACAA CCCCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ACCTCCTGAC TTGGAAGCAA GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA GAAGGTGGAC TTTGAAGATT GCAAAGATGT CAACGACCTG AAACAGTACG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAG TTCAACAAGG CATGTGAATT GACTGATTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGGCGGA ACTATTTTAC AGCAGAGGTT TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCGGCCAT GGATGACTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCACAT TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGAGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGGCCC ATGTTTCTGT ATGTGAGAAC CAATGGGATC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCAGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CACCTAAGGG AGTGGAGGAA GGTTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCTCCAC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTACTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
11
-I                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TCGACGAACG AGGCGAATCA ACTATTATAG AATCTGGCGA TCCAAATGCG CTGCTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGGGAGTC GAAAAACCCA AATTTCTCCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACGA GGAGGGAAGT CCACATATAT TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CTGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAGGACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA TGAGGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAAGAC AAAGAACATG AAAAAAACAA GCCAATTAAA GTGGGCACTC GGTGAAAACA TGGCACCGGA GAAGGTGGAC TTTGAGGATT GCAAAGATGT CAACGACCTG AAACAGTACG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CATGTGAATT GACTGATTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCTC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATATATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCAGCCAT GGATGACTTT CAACTGATTC CAATGATAAG TAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAC TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGACCC ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CACCTAAAGG AGTGGAGGAA GGTTCCATCG GGAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCTCCGC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
12
-J                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCAGC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TTGACGAACG AGGCGAATCA ACAATTATAG AATCTGGCGA TCCAAATGCG TTATTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGAGAGTC GAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACGC GGAGGGAAGT CCACATATAC TACCTAGAAA AAGCCAACAA GATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AAATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAGAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAGAGAGG CGAAGAGACA ATTGAAGAAA GATTTGAGAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTCAGGACAA CACCACGTCC CCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA TGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACAT TCTTCGGATG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCTAATT ATCTCCTGGC TTGGAAGCAG GTACTGGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TCCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTGAA GTGGGCACTC GGTGAGAACA TGGCACCGGA AAAAGTGGAC TTTGAAGATT GCAAAGATGT CAGCGATCTG AAACAGTATG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CATGTGAATT GACTGATTCA AGCTGGATAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATTGAGCA CATTGCAAGC ATGAGAAGGA ACTATTTCAC AGCGGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCGGCCAT GGATGACTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGACGT GGTAAATTTT GTAAGTATGG AGTTTTCCCT TACCGACCCG AGATTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGGCCC ATGTTCCTGT ATGTGAGAAC CAATGGGACT TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCT TCCGTCAAAG AGAAAGACTT GACCAAAGAA TTCTTTGAAA ACAAGTCAGA AACATGGCCA ATTGGAGAGT CACCCAAGGG AGTGGAGGAA GGCTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGTCTATAT GCATCTCCAC AACTCGAGGG GTTCTCAGCA GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACT TTCGATCTTG GGGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTGAGA
13
-K                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATTG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTTGCCGC AATATGCACA CACTTAGAAG TCTGTTTCAT GTATTCGGAT TTCCACTTTA TTGATGAACG AGGCGAATCA ATAATTGTAG AATCTGGCGA TCCGAATGCA TTATTGAAAC ACCGATTTGA GATAATTGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGCA TTTGCAACAC CACAGGAGTC GATAAGCCTA AATTCCTACC TGATTTGTAT GATTATAAAG AAAACCGATT CATTGAAATT GGAGTGACGC GAAGGGAAGT TCACATATAC TATCTAGAAA AAGCCAACAA GATAAAGTCA GAGAAGACAC ACATTCACAT ATTCTCATTC ACTGGAGAGG AAATGGCCAC CAAAGCGGAC TACACCCTTG ATGAAGAGAG CAGGGCAAGA ATAAAAACCA GGCTATTCAC CATAAGACAA GAAATGGCCA GTAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAGAGAGG CGAAGAGACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ATGCCAGAAT TGAGCCTTTT CTGAAGACAA CACCACGCCC TCTCAGATTG CCTGATGGGC CTCCCTGCTC TCAGCGGTCA AAGTTCTTGC TGATGGATGC CCTTAAATTA AGCATCGAAG ACCCGAGTCA TGAGGGGGAA GGTATACCGC TGTATGATGC AATCAAATGC ATGAAGACAT TTTTTGGCTG GAAAGAGCCC AACATCGTAA AACCACATGA AAAAGGCATA AATCCCAATT ACCTCCTGGC TTGGAAGCAG GTGCTGGCAG AACTCCAAGA TATTGAAAAT GAGGAGAAAA TCCCAAAAAC AAAGAACATG AAGAAAACAA GCCAATTGAA GTGGGCACTT GGTGAGAATA TGGCACCAGA AAAAGTGGAC TTTGAGGACT GCAAAGATAT TAGCGATCTA AGACAGTATG ACAGTGACGA ACCGGAATCT AGATCGCTAG CAAGCTGGGT CCAGAGTGAA TTTAACAAGG CATGCGAACT GACAGATTCG AGTTGGATTG AACTTGATGA AATAGGGGAA GACATTGCTC CAATTGAACA CATTGCGAGT ATGAGGAGGA ACTATTTCAC AGCGGAAGTA TCCCATTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAACAC AGCCCTATTG AATGCATCCT GTGCAGCCAT GGATGACTTC CAACTGATTC CAATGATAAG CAAGTGCAGA ACCAAAGAAG GAAGACGGAA GACAAATCTG TATGGATTCA TCATAAAAGG AAGATCCCAT TTGAGGAATG ACACCGATGT GGTAAACTTT GTGAGCATGG AATTCTCTCT CACTGACCCG AGGCTGGAGC CACACAAATG GGAAAAGTAC TGCGTTCTTG AGATAGGAGA TATGCTCCTA CGGACTGCAA TAGGTCAAGT GTCAAGGCCC ATGTTCCTGT ATGTGAGAAC CAATGGGACT TCCAAGATCA AAATGAAATG GGGCATGGAG ATGAGGCGAT GCCTTCTTCA GTCCCTTCAA CAAATTGAGA GCATGATTGA GGCCGAGTCC TCTGTCAAAG AGAAGGACAT GACCAAGGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CCCCCAAAGG AGTGGAAGAA GGCTCCATTG GGAAGGTGTG CAGAACATTG TTAGCAAAGT CTGTGTTCAA CAGCCTATAT GCATCTCCAC AACTCGAGGG GTTTTCAGCT GAATCAAGAA AATTGCTTCT CATTGTTCAG GCACTTAGGG ACAACCTGGA ACCTGGAACC TTCGATCTTG GGGGGCTATA TGAAGCAATT GAGGAGTGCC TGATTAACGA TCCCTGGGTT TTGCTTAATG CGTCTTGGTT CAACTCCTTC CTCACACATG CATTGAAA
14
-L                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTCGCAGC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCGGAT TTCCACTTCA TTGACGAACG AGGCGAATCA ACAATTATAG AATCTGGCGA TCCAAATGCG TTATTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACGGGAGTC GAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACAAGG AAAACCGATT CATTGAAATT GGAGTGACGC GGAGGGAAGT CCACATATAC TACCTAGAAA AAGCCAACAA GATAAAATCC GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AAATGGCCAC CAAAGCAGAT TACACTCTTG ATGAAGAGAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGACAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAGAGAGG CGAAGAGACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT TGAGCCATTT CTAAGGACAA CACCACGTCC CCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TTATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA TGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACAT TCTTCGGATG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGGC TTGGAAGCAA GTACTGGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TCCCAAAGAC AAAGAACATG AAGAAAACAA GCCAATTGAA GTGGGCACTC GGTGAGAACA TGGCACCAGA AAAAGTGGAC TTTGAAGATT GCAAAGATGT CAGCGATCTG AAACAGTATG ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CATGTGAATT GACTGATTCA AGCTGGATAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATTGAGCA CATTGCAAGC ATGAGAAGGA ACTATTTCAC AGCGGAAGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCGGCCAT GGATGACTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACCAAAGAAG GAAGACGGAA AACAAATCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGACGT GGTAAATTTT GTGAGTATGG AGTTTTCCCT TACCGACCCG AGGCTGGAAC CACATAAATG GGAAAAGTAC TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGGCCC ATGTTCCTGT ATGTGAGAAC CAATGGGACT TCCAAAATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCT TCCGTCAAAG AGAAAGACTT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAGT CACCCAAGGG AGT------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- --------
15
-M                               ATGGAAGACT TTGTGCGACA GTGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGACA ATGAAAGAAT ATGGGGAAGA TCCAAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TCGACGAACG TGGCGAATCA ACTATAATAG AATCTGGCGA TCCAAATGCG CTGCTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTA GTGAATAGTA TCTGCAACAC CACAGGAGCC GAAAAACCCA AATTTCTCCC GGATCTGTAT GACTACAAGG AAAACCGTTT CATTGAAATT GGAGTGACGA GGAGGGAAGT CCACATATAT TACCTAGAGA AAGCCAATAA AATAAAATCC GAGAAGACAC ACATCCATAT TTTTTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAAAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CTGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAGATGTCA AAAGAAGTGA ACGCCAGAAT TGAGCCATTT CTAAGAACAA CACCACGCCC TCTCAGATTG CCTAATGGGC CTCCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAGG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC AACATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTCCTGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAGGAC AAAGAACATG AAGAAAACAA GCCAATTAAA GTGGGCACTC GGTGAGAACA TGGCACCGGA GAAGGTGGAC TTTGAGGATT GCAAAGATGT CAACGACTTG AAACAGTACA ACAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT CCAGAATGAA TTCAACAAGG CGTGTGAACT GACTGACTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATATATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AATGCATCTT GTGCAGCCAT GGATGACTTT CAACTGATTC CAATGATAAG TAAATGTAGA ACCAAAGAAG GAAGACGGAA AACAAACCTG TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGATGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA CATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGACCT ATGTTTCTGT ATGTGAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCTCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCTGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAGT CACCTAAAGG AGTGGAGGAA GGTTCCATCG GGAAGGTGTG CAGAACCTTA CTAGCAAAAT CTGTATTCAA CAGCCTATAT GCATCTCCGC AACTCGAGGG GTTCTCAGCT GAATCGAGAA AACTGCTACT CATTGTTCAG GCGCTTAGGG ATAACCTGGA ACCTGGAACC TTTGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
16
-N                               ATGGAAGACT TTGTGCGACA ATGCTTCAAT CCAATGATTG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACGAACA AATTTGCCGC AATATGCACA CACTTGGAAG TCTGTTTCAT GTATTCGGAT TTCCACTTTA TTGATGAACG GGGCGAATCA ATAATTGTAG AATCTGGCGA TCCGAACGCA TTATTGAAAC ACCGATTTGA GATAATTGAA GGAAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGTA TCTGCAACAC CACAGGGGTC GACAAGCCTA AATTCCTCCC AGATTTGTAT GACTACAAAG AGAACCGATT CATTGAAATT GGAGTGACAC GAAGGGAAGT TCACATATAC TATCTAGAAA AAGCTAACAA GATAAAATCG GAGAAGACAC ACATTCACAT ATTCTCATTC ACTGGAGAGG AAATGGCCAC CAAAGCAGAC TATACTCTTG ATGAAGAGAG CAGAGCAAGA ATCAAAACCA GGCTGTTCAC CATAAGGCAA GAAATGGCCA GTAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAGAGAGG CGAAGAGACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT TGAGCCATTT CTGAAGACAA CACCACGCCC TCTTAGATTA CCTGATGGGC CTCCCTGCTC TCAGCGGTCG AAGTTCTTGC TGATGGATGC TCTCAAATTA AGCATCGAAG ACCCGAGCCA TGAGGGGGAA GGTATACCAC TATATGATGC AATCAAATGC ATGAAGACAT TTTTCGGCTG GAAAGAGCCC AACATCGTAA AACCACATGA AAAAGGCATA AACCCCAATT ACCTCCTGGC TTGGAAGCAG GTGCTGGCAG AACTCCAAGA TATTGAAAAT GAAGAGAAAA TCCCAAAAAC AAAGAACATG AAGAAAACAA GCCAATTAAA ATGGGCACTT GGTGAGAATA TGGCACCAGA GAAAGTAGAC TTTGAGGACT GCAAAGATGT TAGCGATCTA AGACAGTATG ACAGTGATGA ACCAGAGTCT AGATCGCTAG CAAGCTGGAT CCAGAGCGAA TTCAACAAGG CATGCGAATT GACAGATTCG AGTTGGATTG AACTTGATGA AATAGGGGAG GACGTTGCTC CAATTGAGCA CATTGCGAGT ATGAGAAGAA ACTATTTCAC AGCGGAAGTA TCCCATTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAACAC AGCCCTGTTG AATGCATCCT GTGCAGCCAT GGATGACTTC CAACTGATTC CAATGATAAG CAAGTGCAGG ACCAAAGAAG GGAGACGGAA GACAAATCTG TATGGATTCA TTATAAAGGG GAGATCCCAT TTGAGGAATG ACACTGATGT GGTAAACTTT GTGAGCATGG AATTCTCTCT TACTGACCCG AGGCTGGAGC CATACAAGTG GGAAAAGTAC TGTGTCCTCG AGATAGGAGA CATGCTACTA CGGACTGCAA TAGGCCAAGT ATCAAGGCCC ATGTTCCTGT ATGTGAGAAC CAATGGGACT TCCAAGATTA AGATGAAATG GGGCATGGAG ATGAGGCGAT GCCTTCTTCA ATCCCTTCAA CAAATTGAAA GCATGATTGA GGCCGAGTCT TCTGTCAAAG AGAAGGACAT GACCAAAGAA TTCTTTGAAA ACAAATCAGA AACATGGCCA ATTGGAGAAT CCCCCAAAGG GGTGGAGGAA GGCTCCATTG GGAAGGTGTG CAGAACATTA CTAGCAAAAT CTGTGTTCAA CAGCCTATAT GCATCTCCAC AACTCGAGGG ATTTTCAGCT GAATCAAGAA AATTGCTTCT CATTGTTCAG GCACTTAGGG ACAACCTTGA ACCTGGGACC TTTGATCTTG GGGGGCTATA TGAAGCAATT GAGGAGTGCC TGATTAACGA TCCCTGGGTT TTGCTTAATG CGTCTTGGTT CAACTCCTTC CTCACACATG CACTGAAA
17
-O                               ATGGAAGACT TTGTGAGACA ATGCTTCAAT CCAATGATCG TCGAGCTTGC GGAAAAGGCA ATGAAAGAAT ATGGGGAAGA TCCGAAAATC GAAACAAACA AATTCGCATC AATATGCACA CACTTAGAAG TCTGCTTCAT GTACTCTGAT TTCCACTTCA TTGACGAAAG AGGCGAATCA ACCATTATAG AATCTGGCGA TCCAAATGCA CTGTTGAAAC ACCGATTTGA AATAATCGAA GGGAGAGACC GAACAATGGC CTGGACAGTG GTGAATAGCA TCTGCCACAC CACGGGAGTC GAGAAACCCA AATTTCTTCC GGATCTGTAT GACTACAAGG AAAGCCGATT CATTGAAATT GGAGTAACGA GGAGGGAAGT CCACATATAC TACCTAGAGA AAGCCAATAA AATAAAATCA GAGAAGACAC ACATCCACAT TTTCTCATTC ACTGGAGAAG AGATGGCCAC CAAAGCAGAT TACACTCTTG ACGAAGAGAG CAGGGCAAGA ATCAAAACCA GGCTGTTCAC TATCAGACAG GAAATGGCCA GCAGGGGTCT ATGGGATTCC TTTCGTCAGT CCGAAAGAGG CGAAGAAACA ATTGAAGAAA GATTTGAAAT CACAGGAACC ATGCGCAGGC TTGCCGACCA AAGTCTCCCA CCGAACTTCT CCAGCCTTGA AAACTTTAGA GCCTATGTGG ATGGATTCGA ACCGAACGGC TGCATTGAGG GCAAGCTTTC TCAAATGTCA AAAGAAGTGA ACGCCAGAAT CGAGCCATTT CTAAGGACTA CACCACGCCC TCTCAGATTG CCTAATGGGC CACCCTGCTC TCAGCGGTCG AAATTCTTGC TGATGGATGC TCTGAAATTA AGCATTGAAG ACCCGAGCCA CGAAGGGGAG GGGATACCGC TATATGATGC GATCAAATGC ATGAAAACGT TCTTCGGGTG GAAAGAGCCC ATCATTATCA AACCACATGA GAAAGGCATA AACCCCAATT ATCTTATGAC TTGGAAGCAG GTGCTAGCAG AACTTCAGGA CATTGAAAAT GAAGAGAAGA TTCCAAAGAC AAAAAACATG AAGAAAACAG GCCAATTAAA GTGGGCACTT GGTGAAAACA TGGCTCCGGA GAAAGTAGAC TTTGAGGACT GCAAAGATGT CAATGACCTG AAACAGTATG ATAGTGATGA GCCAGAGCCC AGATCACTAG CATGTTGGAT TCAGAATGAA TTCAACAAAG CATGTGAATT GACCGATTCA AGCTGGGTAG AACTTGATGA AATAGGGGAA GATGTTGCCC CAATCGAACA CATTGCAAGC ATGAGACGGA ACTATTTTAC AGCAGAGGTG TCCCACTGCA GGGCTACTGA ATACATAATG AAGGGAGTGT ACATAAATAC AGCTTTGCTC AACGCATCTT GTGCGGCTAT GGATGATTTT CAACTGATTC CAATGATAAG CAAATGCAGA ACAAAAGAAG GAAGACGGAA AACAAACCTA TATGGATTCA TTATAAAAGG AAGATCTCAT TTGAGGAATG ATACCGACGT GGTAAACTTT GTAAGTATGG AATTTTCCCT TACCGACCCA AGGTTGGAAC CACATAAATG GGAAAAGTAT TGTGTTCTTG AAATAGGGGA TATGCTCCTG CGAACTGCAG TAGGCCAAGT GTCAAGGCCC ATGTTTCTGT ATGTTAGAAC CAATGGGACC TCCAAGATCA AGATGAAATG GGGTATGGAA ATGAGACGCT GCCTTCTTCA ATCCCTCCAA CAGATTGAGA GCATGATTGA AGCTGAATCC TCCGTCAAAG AGAAAGACCT GACCAAAGAA TTCTTTGAAA ACAAATCAGA GACATGGCCA ATTGGAGAAT CACCTAAGGG AGTGGAGGAA GGTTCCATCG GAAAGGTGTG CAGAACCTTA CTAGCAAAAT CGGTATTCAA CAGCCTATAT GCATCTCCAC AACTAGAGGG GTTCTCAGCT GAGTCGAGAA AATTGCTACT CATTGTTCAG GCGCTTAGGG ACAACCTGGA ACCTGGAACC TTCGATCTTG AAGGGCTATA TGAAGCAATC GAGGAGTGCC TGATTAATGA TCCCTGGGTT TTGCTTAATG CATCTTGGTT CAACTCCTTC CTCACACATG CACTAAGA
18
-
19
-
20
-
21
-Printing out site pattern counts
22
-
23
-
24
-        15        262  P
25
-
26
-A                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TT
27
-B                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAGGGGTA CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCT TTTTTTTAAA AAAGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGTCCCCC CCCGTTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TT
28
-C                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAGGGGG GGGGAAAGAC AACCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCT TTTTTTTTTC CCCTTTTAAG GGGAAAAAAA AAAAAGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGTTGCCCTT TTTGCCCCCC CTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TT
29
-D                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAACCGGG GGGGGGGGGG GGGGGAAAAG GGGGAAGGGC CTAACCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCCTTT TTTTTTTTTC CCCCCCTTTC CCCCTTTAAA GGGAAAAAGG GGGGTAAAAA AAAAAAAAAA CGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GTAGACCCCC TTTAACCTTT TAACCCCCCC CCCCCGGTTT TTTTTTTTTT TTTTTTTTTT TT
30
-E                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAGGTAAAAA AAAAAAAAAA AAAAAAAAGG GGGGAAAGAC AACCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCCCCTCCC CCCCCCCTTC CCTTTTCCTC CCCCCTTAAG GGGAAAAGAA AGGGAAAGGG GGGGGGGGGT TAAGGGGGGG GGGGGGGGGG GGGGGGGGGG GAGGGCCCTT TTTGCCCCCT TTTCCTTTTT TTTTTTTACC CCCTTTTTTT TTTTTTTTTT TT
31
-F                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA GTAAAAAAAA AAAAAAAAAA AAGGGAAAGA AAAAAAAAAC CCCCACCCCC CCCCCCCCCC CCCCCCCCCC TTTTTTCCCC CCCCCCCCCC CCCCCCCCCC CCTCCCTAGG GGGGGGGGGG GAGGGGGGGG GGGGGGGGGG GGGAGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGCCTCT TTTATCTCTT TTTCTTTTTT TTTTTTTTTT TTTACCTTTT TTTTTTTTTT TT
32
-G                               --AAAAAAAA AAAAAAAAAA AAAAACGGGT AAAAAAA-AA AAAAAAAAAA GGAAGAAAGG GGGGAAAGGC CCACC--CCC CCCCCCCCCC CCCCCCCCCT CCCCTTCCCC CCCCCTTCCC CCCCCTCCTC CCCCTTTAAG GGGAAAGGAG GGGGAGGAAA GGGGGGGGTG AGGG---AAA ACGGGGGGGG GGGGGGGGGG TGGGACCCTC TTTGTCCCTT TTTTTCCCCT TTTTTTTTTT TTTTTT-ACT TTTTTTTTTT TT
33
-H                               AAAAAAAAAA AAAAAAAAAA AACGGAAAAA AAAAAAAAAA AAAAAAAAAG AAAAAAAAGA GGGGAAAGAC CCCCCCCAAC CCCCCCCCCC CCCCCCCCTC CCCCCCCCCC CCCCCCCCCC CCCCCTCCTC CCCCTTTAAG GGGAAAGGAG GGGGAGGGGT GGGGGGGGGG GGGGAGGGGG GGAAGGGGGG GGGGGGGGGT GGGGGCCCTT TTTGTCCCTT TTTTTTTTTT TTTTTTTATT TTTTTTTTTC TTTTTTTTTT TT
34
-I                               AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAGAAAAAA AAAAAAAAAA AAAAAAAAGA AAAAAAAGAC CCCCCCCCCC CCCCCCCCCC CCCCCCCCCC CCCTCTCCCC CCCCCCCCCC CCCCCCTTCC CCCCTTTAAG AGGAGGGGGA GAGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGGGGGG GGGGGCCCCT TTTGTCTCTT TTTCTTTTTC TTTTTTTTTT TTTTTTTTTT TTTTTTTTTT TT
35
-J                               AAAAAAAAAA AAAAAAAAAG GGAAAAAAAA AAAAAACGAA AAAACGGGGA GGAAGAAAGG GGGGAAAGGC CCATCCCCCC CCCCCCCCCC CCCCCTTTCC CCCCCCCCCC CCTTTCTCTC CTCCCTCTTC CCCCTTTAAG GGGAAAGGGG GGGGAAGAAG AGGGGGGGGG AGGGGGGAGG GGGGAAGGGG GGGGGGGGGG GGAGACCCTT TTTGACCCTT TTTTTCCCTT CTTTTGTTTT TTTTTTTTTT ACTTTTTTTT TT
36
-K                               AGAAAAAAAA ACGGGGTTTA GGAAGAAAGA AAAGAGCGAA AGGGGAAGGA GGAGAAAGAG AAGTAGAGGC ACAACCTCTA AACCCCCCCC TTTTTCCCCC CCTCCCCCTT TTCCTTTTTC TCCGTATTTC CTCCCTCAAG GAGAAGAGGG GAGGGAGAAG AAAAAGGGGG CAGGGAGGAG TGAGAGAAAA GGGGGGGGTA GTGGATTCTC CCTAACCTAT TACTCCCTCT CCCCTGGCCC CTTTTTTTTC TCACCCTTTT TT
37
-L                               -----AAAAA AA--AA-AAA -GAAAAAAAA AAAAAAC--A AAAGAGGGGA -GAAG-AAGG GGGGAAAGGC CCATC--CC- CC--CCCCCC --CCC-CTCC CCTCCCCC-C CTTTTCTCTC C-CC-TCTT- CC-CTTTAAG G-GA--GGGG GGGGAAGAAG AAAGGAGGGG A-GG---GGG GGGAAG-GGG ---GGGGTGG GGA-A-CCTT -TTGA-CCTT TTTTT-CCCT CTTTTGGTCT T-TTTT--TT -CT-TT--TT TT
38
-M                               AAAAAAAAAA TAAAAAAAAA AAAAAAAAAA GTAAAAAAAA AAAAAAAAAA AAAGGAAAGA AAAAAAAAAC CCCCCCCCTC CCCCCCCCCT CCCCCCCCCC CTTTTTCCCC CCCCCCCCCC CCCCCCCCCC CCTCCCTAGG GGGGGGGGGG GAGGGGGGGG GGGGGGGGGG GGGAGGGGGG GGGGGGGGGG GGGAGGGGGG GGGGGCCTCT TTTATCTTTT TTTCTTTTTT TTTTTTTTTT TTTACTTTTT TTTTTTTTTT TT
39
-N                               AGAAGAAAAG GCAGAGTATA GGAAAAAGAA AAAGAACGAA GAGGGAGAGA GGAGAAAGAG AGGCAAAGGC GCAACCCCTA ACCCACCCTC CTCTTCCCCC CCTCCCCCTC TTCTTTTTTT TCCGTCTTTC CTTCTTCAAG GAAAAGAAGG AAAGGAAAGG AAGAGGAGGG CAGGGAGGAG TGAGAGGAAG AGTGAGGGCA GAGGATCCTC CCTAACCTAC TACTCCCTCT CCCTTGGCCC TTTTTTTTTC TCACCTTTCT TT
40
-O                               AAAGAACGTA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAGG GAGGAAAGAC AACCCCCCCC CCACCACTCC CCCCTCCCCC CCCCCCCCCC CCCCCCCCTC CCTCTTCCTC CCCCTTTAAG GGGAAAAGAA AGGGGAGGGG GGAGGGGGGT GGGGGGGGGG GGGGGGGAGG GGGGGAGGGG GGGGGCTCTT CTTGCCCCCT TTTCTTTTTT TCTTTTTTTC CTTTTTTTTT TTTTTTGTTA CT
41
-
42
-
43
-
44
-   10    1   49    1    1  539    2    3    3    5    1    2    2    1    4
45
-   19    1    1    1    2    1    1    1    1    1    1    3    1    1    1
46
-    2    1    4    1    1    1    1    1    1    7    4    1    4    1    1
47
-    1    1    1    4    1    1    2    1    1    1    1    2    1    1    1
48
-    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1
49
-   13    1    1    1    1    2    1    1   35    1    3  283    5    5    1
50
-    1    1    8   19    1    1    1    1    1    3    1    2    1    1    1
51
-    1    2    5    1    1    4    2    1    1    2    1    1    1    1    1
52
-    1    1    2    1    1    1    1    1    1    1    2    1    1    1    1
53
-    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1
54
-    1    1    1    1    1    1    1    1    1    1    2    2    1    3    1
55
-    1    2    2    3    1    1    1    1    1    1    1    4    1    1    1
56
-    1    2    1    1    1    1    1    1   10    6    1   49    1    3    3
57
-    2  358    1    1    1    3    1    1    1    1    1    1    1    1    1
58
-    1    1    1    1    1    1    2    1    1    1    1    1    1    1    1
59
-    1    2    1    1    1    2    1    3    1    7    1    1    1    1    1
60
-    1    1    1    1    1    1   16    1    1    1    1    1    1    1   11
61
-    5    1   47    3    1    1  331
62
-
63
-
64
-BASEML (in paml version 4.7b, October 2013)  sample.phy  HKY85 
65
-Frequencies..
66
-                                    T      C      A      G
67
-A                              0.22114 0.20810 0.33520 0.23557
68
-B                              0.22207 0.20717 0.33613 0.23464
69
-C                              0.22346 0.20531 0.33752 0.23371
70
-D                              0.21834 0.20950 0.33287 0.23929
71
-E                              0.21974 0.20903 0.33752 0.23371
72
-F                              0.22114 0.20717 0.33473 0.23696
73
-G                              0.22000 0.20810 0.33667 0.23524
74
-H                              0.22020 0.20857 0.33659 0.23464
75
-I                              0.22020 0.20857 0.33659 0.23464
76
-J                              0.22067 0.20717 0.33240 0.23976
77
-K                              0.22626 0.20065 0.33240 0.24069
78
-L                              0.21455 0.20393 0.34413 0.23739
79
-M                              0.22300 0.20624 0.33566 0.23510
80
-N                              0.22486 0.20205 0.33194 0.24115
81
-O                              0.22207 0.20577 0.33799 0.23417
82
-
83
-Homogeneity statistic: X2 = 0.00172 G = 0.00172 
84
-
85
-Average                        0.22124 0.20651 0.33582 0.23644
86
-(Ambiguity characters are used to calculate freqs.)
87
-
88
-
89
-# constant sites:   1511 (70.34%)
90
-Distances:HKY85 (kappa)  (alpha set at 0.00)
91
-This matrix is not used in later m.l. analysis.
92
-
93
-(Pairwise deletion.)
94
-A                
95
-B                  0.0166(15.4440)
96
-C                  0.0287(22.1975)  0.0333(18.0062)
97
-D                  0.0754(22.2561)  0.0767(19.3824)  0.0761(17.8806)
98
-E                  0.0318(17.1224)  0.0391(16.2735)  0.0225(13.8216)  0.0764(17.9572)
99
-F                  0.0162(15.0601)  0.0252(15.6774)  0.0360(19.6440)  0.0806(20.4368)  0.0386(15.9985)
100
-G                  0.0367( 9.5552)  0.0406( 9.0753)  0.0384( 7.8258)  0.0696(10.8602)  0.0426( 7.6864)  0.0414( 9.2909)
101
-H                  0.0194( 9.6890)  0.0252( 9.7890)  0.0218( 7.1796)  0.0719(14.6771)  0.0252( 8.6086)  0.0273(10.7657)  0.0287( 4.5230)
102
-I                  0.0135(54.6956)  0.0171(22.0537)  0.0230(22.2285)  0.0692(22.1440)  0.0287(18.1646)  0.0153(19.4299)  0.0337( 9.5072)  0.0179(10.5838)
103
-J                  0.0394(21.6083)  0.0446(18.7827)  0.0380(13.9511)  0.0530(20.1506)  0.0431(13.0561)  0.0468(19.7959)  0.0337( 6.6209)  0.0331( 9.5593)  0.0365(23.5148)
104
-K                  0.1240(17.0782)  0.1287(16.4374)  0.1284(17.0664)  0.1077(20.4025)  0.1247(16.5014)  0.1375(17.6641)  0.1293(12.4993)  0.1251(14.2160)  0.1267(18.2623)  0.1128(17.5192)
105
-L                  0.0437(20.7844)  0.0477(17.3542)  0.0435(15.6702)  0.0524(21.8503)  0.0468(12.2463)  0.0516(18.9096)  0.0387( 7.4491)  0.0373( 9.3432)  0.0418(23.4940)  0.0103(10.6081)  0.1085(17.6324)
106
-M                  0.0163(15.1488)  0.0253(15.7389)  0.0375(20.5193)  0.0815(20.7069)  0.0400(16.6832)  0.0056( 9.8126)  0.0429( 9.7040)  0.0281(11.1277)  0.0167(21.4041)  0.0483(20.4943)  0.1356(17.4249)  0.0533(19.6122)
107
-N                  0.1214(18.1911)  0.1212(16.6573)  0.1170(16.7233)  0.1003(18.8720)  0.1202(17.2301)  0.1314(18.1997)  0.1249(12.8386)  0.1201(14.6230)  0.1208(18.9424)  0.1062(18.0677)  0.0439(28.6097)  0.1025(19.8363)  0.1292(17.8860)
108
-O                  0.0352( 7.8629)  0.0412( 8.1654)  0.0288( 6.6438)  0.0834(11.3630)  0.0261( 5.8398)  0.0434( 8.6998)  0.0482( 5.5609)  0.0311( 4.5253)  0.0329( 7.8806)  0.0486( 8.1478)  0.1310(12.2572)  0.0527( 8.6732)  0.0448( 9.0610)  0.1296(12.9068)
109
-
110
-TREE #  1:  (11, 14, (4, (12, (10, (7, ((3, (5, 15)), (8, (9, (2, (1, (6, 13)))))))))));  MP score: -1.00
111
-lnL(ntime: 27  np: 28):  -6174.628214    +0.000000
112
-  16..11   16..14   16..17   17..4    17..18   18..12   18..19   19..10   19..20   20..7    20..21   21..22   22..3    22..23   23..5    23..15   21..24   24..8    24..25   25..9    25..26   26..2    26..27   27..1    27..28   28..6    28..13 
113
- 0.023919 0.018389 0.056417 0.023875 0.018630 0.001678 0.004740 0.004381 0.014044 0.014390 0.007492 0.004932 0.008732 0.002765 0.009753 0.015000 0.000477 0.006614 0.006235 0.004610 0.001118 0.010113 0.002563 0.003610 0.008532 0.002339 0.002838 12.707072
114
-SEs for parameters:
115
- 0.003810 0.003434 0.005779 0.003857 0.003498 0.001133 0.001659 0.001527 0.002709 0.002770 0.001989 0.001591 0.002149 0.001216 0.002249 0.002753 0.000557 0.001836 0.001772 0.001654 0.000874 0.002270 0.001162 0.001389 0.002187 0.001115 0.001176 1.619616
116
-
117
-tree length =   0.27819
118
-
119
-(K, N, (D, (L, (J, (G, ((C, (E, O)), (H, (I, (B, (A, (F, M)))))))))));
120
-
121
-(K: 0.023919, N: 0.018389, (D: 0.023875, (L: 0.001678, (J: 0.004381, (G: 0.014390, ((C: 0.008732, (E: 0.009753, O: 0.015000): 0.002765): 0.004932, (H: 0.006614, (I: 0.004610, (B: 0.010113, (A: 0.003610, (F: 0.002339, M: 0.002838): 0.008532): 0.002563): 0.001118): 0.006235): 0.000477): 0.007492): 0.014044): 0.004740): 0.018630): 0.056417);
122
-
123
-Detailed output identifying parameters
124
-
125
-Parameters (kappa) in the rate matrix (HKY85) (Yang 1994 J Mol Evol 39:105-111):
126
- 12.70707
127
-
128
-check convergence..
129 0
deleted file mode 100755
... ...
@@ -1,5679 +0,0 @@
1
-Supplemental results for BASEML
2
-
3
-seqf:  sample.phy
4
-treef: sample.nwk
5
-
6
-
7
-TREE #  1
8
-
9
-Ancestral reconstruction by BASEML.
10
-
11
-(K: 0.023919, N: 0.018389, (D: 0.023875, (L: 0.001678, (J: 0.004381, (G: 0.014390, ((C: 0.008732, (E: 0.009753, O: 0.015000): 0.002765): 0.004932, (H: 0.006614, (I: 0.004610, (B: 0.010113, (A: 0.003610, (F: 0.002339, M: 0.002838): 0.008532): 0.002563): 0.001118): 0.006235): 0.000477): 0.007492): 0.014044): 0.004740): 0.018630): 0.056417);
12
-
13
-(11, 14, (4, (12, (10, (7, ((3, (5, 15)), (8, (9, (2, (1, (6, 13)))))))))));
14
-
15
-  16..11   16..14   16..17   17..4    17..18   18..12   18..19   19..10   19..20   20..7    20..21   21..22   22..3    22..23   23..5    23..15   21..24   24..8    24..25   25..9    25..26   26..2    26..27   27..1    27..28   28..6    28..13 
16
-
17
-tree with node labels for Rod Page's TreeView
18
-(11_K, 14_N, (4_D, (12_L, (10_J, (7_G, ((3_C, (5_E, 15_O) 23 ) 22 , (8_H, (9_I, (2_B, (1_A, (6_F, 13_M) 28 ) 27 ) 26 ) 25 ) 24 ) 21 ) 20 ) 19 ) 18 ) 17 ) 16 ;
19
-
20
-Nodes 16 to 28 are ancestral
21
-Unreliable at sites with alignment gaps
22
-
23
-(1) Marginal reconstruction of ancestral sequences
24
-(eqn. 4 in Yang et al. 1995 Genetics 141:1641-1650).
25
-
26
-Prob of best state at each node, listed by site
27
-
28
-   site   Freq   Data: 
29
-
30
-   1    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
31
-   2    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
32
-   3    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
33
-   4    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
34
-   5      1   AAAAAATAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
35
-   6    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
36
-   7    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
37
-   8    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
38
-   9    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
39
-  10    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
40
-  11    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
41
-  12    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
42
-  13    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
43
-  14    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
44
-  15    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
45
-  16      3   CCCCCCCCCCCCCCA: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
46
-  17    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
47
-  18    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
48
-  19    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
49
-  20    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
50
-  21      2   AAAAAGAAAAAAGAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(0.999) G(0.999) 
51
-  22    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
52
-  23    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
53
-  24    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
54
-  25    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
55
-  26    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
56
-  27    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
57
-  28    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
58
-  29    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
59
-  30    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
60
-  31    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
61
-  32    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
62
-  33    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
63
-  34    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
64
-  35    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
65
-  36    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
66
-  37    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
67
-  38    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
68
-  39     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
69
-  40    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
70
-  41    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
71
-  42    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
72
-  43    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
73
-  44    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
74
-  45    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
75
-  46    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
76
-  47    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
77
-  48    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
78
-  49    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
79
-  50    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
80
-  51    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
81
-  52    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
82
-  53    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
83
-  54    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
84
-  55    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
85
-  56    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
86
-  57    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
87
-  58      3   GGGGGGGGGGGGAGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.994) 
88
-  59    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
89
-  60    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
90
-  61    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
91
-  62    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
92
-  63    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
93
-  64    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
94
-  65    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
95
-  66    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
96
-  67    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
97
-  68    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
98
-  69      3   AAAAAAGAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(0.992) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
99
-  70    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
100
-  71    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
101
-  72    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
102
-  73    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
103
-  74    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
104
-  75    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
105
-  76    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
106
-  77    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
107
-  78    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
108
-  79    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
109
-  80    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
110
-  81    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
111
-  82    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
112
-  83    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
113
-  84      3   GGGGGGGGGGGGAGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.994) 
114
-  85    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
115
-  86    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
116
-  87    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
117
-  88    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
118
-  89    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
119
-  90    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
120
-  91    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
121
-  92    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
122
-  93    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
123
-  94    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
124
-  95    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
125
-  96      1   AAGGGAGGAGAGAGA: G(0.965) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.998) G(1.000) A(0.999) A(1.000) A(1.000) A(1.000) 
126
-  97    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
127
-  98    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
128
-  99    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
129
- 100    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
130
- 101    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
131
- 102    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
132
- 103    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
133
- 104    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
134
- 105     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
135
- 106      3   GGGGGGTGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(0.999) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
136
- 107    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
137
- 108      2   AAAAAAAAAACAACA: C(0.999) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
138
- 109      1   TTTGTTTTTGGGTGT: G(1.000) G(1.000) G(1.000) G(1.000) T(0.999) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
139
- 110    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
140
- 111      7   AAAGAAAAAAAAAAA: A(1.000) A(0.952) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
141
- 112      1   AAAAAAAGAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) 
142
- 113    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
143
- 114    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
144
- 115    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
145
- 116    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
146
- 117    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
147
- 118    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
148
- 119    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
149
- 120    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
150
- 121    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
151
- 122    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
152
- 123    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
153
- 124    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
154
- 125    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
155
- 126      5   AAAAAAAAAAAAAGA: A(0.922) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
156
- 127    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
157
- 128    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
158
- 129    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
159
- 130    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
160
- 131    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
161
- 132      1   CCCCCCCACCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
162
- 133    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
163
- 134    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
164
- 135     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
165
- 136    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
166
- 137    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
167
- 138    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
168
- 139    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
169
- 140    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
170
- 141    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
171
- 142    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
172
- 143    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
173
- 144      4   CCCTCCCCCCTCCTC: T(1.000) T(0.947) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
174
- 145    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
175
- 146    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
176
- 147      1   TTTGTTTTTTGGTGT: G(1.000) G(1.000) G(1.000) T(0.999) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
177
- 148    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
178
- 149    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
179
- 150    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
180
- 151    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
181
- 152    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
182
- 153    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
183
- 154    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
184
- 155    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
185
- 156      3   CCCCCCTCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(0.995) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
186
- 157    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
187
- 158    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
188
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189
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190
- 161    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
191
- 162      1   CCTTTCTTCTTTCTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) C(0.999) C(1.000) C(1.000) C(1.000) 
192
- 163    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
193
- 164    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
194
- 165     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
195
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196
- 167    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
197
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198
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199
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200
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201
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202
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203
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204
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205
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206
- 177    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
207
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209
- 180    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
210
- 181    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
211
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212
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213
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214
- 185    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
215
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216
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217
- 188    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
218
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219
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220
- 191    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
221
- 192    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
222
- 193    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
223
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224
- 195    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
225
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226
- 197    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
227
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228
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229
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230
- 201    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
231
- 202    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
232
- 203    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
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249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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- 242    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
272
- 243      1   GGGAAGGGGGGGGAG: G(0.564) G(0.578) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.996) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
273
- 244    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
274
- 245    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
275
- 246    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
276
- 247    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
277
- 248    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
278
- 249    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
279
- 250    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
280
- 251    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
281
- 252    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
282
- 253    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
283
- 254    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
284
- 255    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
285
- 256    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
286
- 257    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
287
- 258    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
288
- 259    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
289
- 260    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
290
- 261    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
291
- 262    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
292
- 263    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
293
- 264    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
294
- 265    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
295
- 266    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
296
- 267    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
297
- 268    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
298
- 269    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
299
- 270      3   GGGGGGGGGGGGAGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.994) 
300
- 271    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
301
- 272    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
302
- 273    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
303
- 274    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
304
- 275    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
305
- 276    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
306
- 277    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
307
- 278    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
308
- 279      1   TTTTCTTTTTCTTTC: T(0.968) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(0.989) C(0.964) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
309
- 280    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
310
- 281    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
311
- 282      8   CCCCCCCCCCTCCCC: C(0.970) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
312
- 283    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
313
- 284    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
314
- 285    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
315
- 286      2   AAAAAAAAAAAAAAC: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
316
- 287    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
317
- 288    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
318
- 289    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
319
- 290    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
320
- 291    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
321
- 292    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
322
- 293    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
323
- 294      1   TGGAGAGGGGAGAAG: A(0.999) A(0.923) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.999) G(0.736) A(0.999) 
324
- 295      1   GGGGGGAGGAGGGGG: G(1.000) G(1.000) G(0.998) G(0.708) G(0.712) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
325
- 296    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
326
- 297      4   AAAGAAAAAAAAAGA: G(0.585) G(0.571) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
327
- 298    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
328
- 299      1   TTTTTCTTTTTTCTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(0.999) C(0.999) 
329
- 300    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
330
- 301      2   GGGGGGCGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(0.999) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
331
- 302    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
332
- 303      1   AAGGGAGGAGTGACG: C(0.557) G(0.999) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) A(0.999) A(1.000) A(1.000) A(1.000) 
333
- 304    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
334
- 305    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
335
- 306     19   AAAAAAAAAAGAAGA: G(0.994) A(0.991) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
336
- 307    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
337
- 308    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
338
- 309     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
339
- 310    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
340
- 311      7   AAAGAAAAAAAAAAA: A(1.000) A(0.952) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
341
- 312    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
342
- 313    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
343
- 314    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
344
- 315      1   TTTATTTTTTCTTCT: C(0.996) T(0.718) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
345
- 316    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
346
- 317    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
347
- 318      1   CCTCTCTTCTATCCT: C(0.978) C(0.933) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) C(0.999) C(1.000) C(1.000) C(1.000) 
348
- 319    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
349
- 320    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
350
- 321      1   GGGTAGGGGGTGGAG: T(0.890) T(0.891) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(0.996) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
351
- 322    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
352
- 323    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
353
- 324    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
354
- 325     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
355
- 326    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
356
- 327    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
357
- 328    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
358
- 329    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
359
- 330    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
360
- 331    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
361
- 332    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
362
- 333      8   CCCCCCCCCCTCCCC: C(0.970) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
363
- 334    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
364
- 335    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
365
- 336      8   CCCCCCCCCCTCCCC: C(0.970) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
366
- 337      1   AAAAAACAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
367
- 338    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
368
- 339     10   GGGGGGGGGGAGGAG: A(0.991) G(0.994) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
369
- 340    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
370
- 341    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
371
- 342      1   AAAAAAGAAAAAAGA: A(0.922) A(0.999) A(1.000) A(1.000) A(0.992) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
372
- 343    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
373
- 344      3   AAAAAAAAAAAAAAG: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(0.998) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
374
- 345    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
375
- 346    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
376
- 347    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
377
- 348      1   AAAAATAAAAAATAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) T(1.000) 
378
- 349    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
379
- 350    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
380
- 351    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
381
- 352    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
382
- 353    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
383
- 354    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
384
- 355    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
385
- 356    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
386
- 357    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
387
- 358    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
388
- 359    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
389
- 360    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
390
- 361    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
391
- 362    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
392
- 363    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
393
- 364    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
394
- 365    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
395
- 366      1   GGAGAGAAGGGGGGA: G(1.000) G(1.000) G(1.000) G(0.999) A(0.983) A(0.991) A(1.000) A(1.000) A(0.991) G(0.999) G(1.000) G(1.000) G(1.000) 
396
- 367    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
397
- 368    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
398
- 369      2   GGGAGGGGGGGGGAG: G(0.564) G(0.578) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
399
- 370      1   AAACAAAAACCCACA: C(1.000) C(1.000) C(1.000) C(1.000) A(0.999) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
400
- 371    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
401
- 372     10   GGGGGGGGGGAGGAG: A(0.991) G(0.994) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
402
- 373    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
403
- 374    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
404
- 375    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
405
- 376    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
406
- 377    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
407
- 378    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
408
- 379    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
409
- 380    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
410
- 381     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
411
- 382    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
412
- 383    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
413
- 384    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
414
- 385    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
415
- 386    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
416
- 387    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
417
- 388    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
418
- 389    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
419
- 390      2   TTCCCTCCTCCCTCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) T(0.999) T(1.000) T(1.000) T(1.000) 
420
- 391    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
421
- 392    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
422
- 393     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
423
- 394    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
424
- 395    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
425
- 396    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
426
- 397    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
427
- 398    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
428
- 399      2   GGGAGGGGGAAAGAG: A(1.000) A(1.000) A(1.000) A(0.998) G(0.994) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
429
- 400    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
430
- 401    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
431
- 402    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
432
- 403    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
433
- 404    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
434
- 405      5   CCCCCCCCCCCCCTC: C(0.950) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
435
- 406    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
436
- 407    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
437
- 408      2   TTTCTTTTTCCCTCT: C(1.000) C(1.000) C(1.000) C(0.999) T(0.994) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
438
- 409    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
439
- 410    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
440
- 411      4   AAAGAAAAAGGGAGA: G(1.000) G(1.000) G(1.000) G(0.999) A(0.991) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
441
- 412    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
442
- 413    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
443
- 414    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
444
- 415    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
445
- 416    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
446
- 417      4   AAAAAAAAAAGAAAA: A(0.952) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
447
- 418    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
448
- 419    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
449
- 420      1   CCACACCCCCACCGA: G(0.555) C(0.999) C(1.000) C(1.000) C(1.000) C(1.000) A(1.000) A(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
450
- 421    358   GGGGGGGGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
451
- 422    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
452
- 423      3   GGGAGGTGGGGGGGG: G(1.000) G(0.964) G(1.000) G(1.000) G(0.999) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
453
- 424    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
454
- 425    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
455
- 426      3   GGGGGGTGGGGGGGG: G(1.000) G(1.000) G(1.000) G(1.000) G(0.999) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) G(1.000) 
456
- 427    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
457
- 428    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
458
- 429    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
459
- 430    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
460
- 431    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
461
- 432    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
462
- 433    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
463
- 434    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
464
- 435     19   CCCCCCCCCCTCCTC: T(0.994) C(0.994) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
465
- 436    283   CCCCCCCCCCCCCCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) 
466
- 437    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
467
- 438      2   CCCCCTCCCCCCTCC: C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(1.000) C(0.999) T(0.999) 
468
- 439    539   AAAAAAAAAAAAAAA: A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) A(1.000) 
469
- 440    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
470
- 441      1   TTTTTTTTTTATTAT: A(0.999) T(0.999) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) 
471
- 442    331   TTTTTTTTTTTTTTT: T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000) T(1.000)