... | ... |
@@ -26,14 +26,17 @@ for each row in the data.frame. |
26 | 26 |
|
27 | 27 |
} |
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\usage{ |
29 |
-\S4method{associateTranscriptionFactors}{MotifList}(object, tbl.withMotifs, source, expand.rows) |
|
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+\S4method{associateTranscriptionFactors}{MotifList}(object, tbl.withMotifs, source, expand.rows, motifColumnName="motifName") |
|
30 | 30 |
} |
31 | 31 |
\arguments{ |
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\item{object}{a \code{MotifList} object.} |
33 | 33 |
\item{tbl.withMotifs}{a \code{data.frame}} |
34 |
- \item{source}{a \code{character} string, either 'MotifDb' or "TFClass' (case insensitive)} |
|
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- \item{expand.rows}{a \code{logical} value, recommended especially for the TFClass source, |
|
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- in which sometimes many TFs are mapped to the same motif} |
|
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+ \item{source}{a \code{character} string, either "MotifDb" or "TFClass" (case insensitive)} |
|
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+ \item{expand.rows}{a \code{logical} value, recommended especially for the TFClass source, |
|
36 |
+ in which sometimes many TFs are mapped to the same motif} |
|
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+ \item{motifColumnName}{a \code{character} string identifying the |
|
38 |
+ column in tbl.withMotifs which contains the motifs to be associated |
|
39 |
+ with transcription factors} |
|
37 | 40 |
} |
38 | 41 |
|
39 | 42 |
\value{ |
1 | 1 |
new file mode 100644 |
... | ... |
@@ -0,0 +1,77 @@ |
1 |
+\name{associateTranscriptionFactors} |
|
2 |
+\alias{associateTranscriptionFactors,MotifList-method} |
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+\alias{associateTranscriptionFactors} |
|
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+\title{associateTranscriptionFactors} |
|
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+\description{ |
|
6 |
+In the analysis of, or exploration of gene regulatory networks, one |
|
7 |
+often creates a data.frame of possible genomic regulatory sites, genomic |
|
8 |
+locations where a TF binding motif matches some DNA sequence. A common |
|
9 |
+next step is to associate each of these motifs with its related |
|
10 |
+transcription factor/s. We provide two sources for those |
|
11 |
+relationships. When you specify the "MotifDb" source, we return |
|
12 |
+the motif/TF relationships provided by each of the constituent |
|
13 |
+public MotifDb sources. When you specify the "TFClass" source, |
|
14 |
+transcription factor family memberships (described in |
|
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+\url{https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383905/}) are - |
|
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+sometimes expansively - provided for each motif you supply. |
|
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+ |
|
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+This method uses, and therefore expects, different columns of the incoming data.frame |
|
19 |
+to be used with each method. The MotifDb source uses the "motifName" column of |
|
20 |
+the incoming data.frame. The TFClass source expects a "shortName" |
|
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+column in the incoming database. |
|
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+ |
|
23 |
+A new column, "geneSymbol", is added to the incoming data.frame. This |
|
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+new column identifies the transcription factor associated with the motif |
|
25 |
+for each row in the data.frame. |
|
26 |
+ |
|
27 |
+} |
|
28 |
+\usage{ |
|
29 |
+\S4method{associateTranscriptionFactors}{MotifList}(object, tbl.withMotifs, source, expand.rows) |
|
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+} |
|
31 |
+\arguments{ |
|
32 |
+ \item{object}{a \code{MotifList} object.} |
|
33 |
+ \item{tbl.withMotifs}{a \code{data.frame}} |
|
34 |
+ \item{source}{a \code{character} string, either 'MotifDb' or "TFClass' (case insensitive)} |
|
35 |
+ \item{expand.rows}{a \code{logical} value, recommended especially for the TFClass source, |
|
36 |
+ in which sometimes many TFs are mapped to the same motif} |
|
37 |
+} |
|
38 |
+ |
|
39 |
+\value{ |
|
40 |
+ A data.frame with one column ("geneSymbol") and possibly multiple rows added |
|
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+} |
|
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+\author{Paul Shannon} |
|
43 |
+ |
|
44 |
+\examples{ |
|
45 |
+ tbl.tfClassExample <- data.frame(motifName=c("MA0006.1", "MA0042.2", "MA0043.2"), |
|
46 |
+ chrom=c("chr1", "chr1", "chr1"), |
|
47 |
+ start=c(1000005, 1000085, 1000105), |
|
48 |
+ start=c(1000013, 1000092, 1000123), |
|
49 |
+ score=c(0.85, 0.92, 0.98), |
|
50 |
+ stringsAsFactors=FALSE) |
|
51 |
+ # here we illustrate how to add a column with the required name: |
|
52 |
+ tbl.tfClassExample$shortMotif <- tbl.tfClassExample$motifName |
|
53 |
+ tbl.out <- associateTranscriptionFactors(MotifDb, tbl.tfClassExample, source="TFClass", |
|
54 |
+ expand.rows=TRUE) |
|
55 |
+ dim(tbl.out) # MANY tfs mapped, mostly FOX family genes |
|
56 |
+ tbl.motifDbExample <- data.frame(motifName=c("Mmusculus-jaspar2016-Ahr::Arnt-MA0006.1", |
|
57 |
+ "Hsapiens-jaspar2016-FOXI1-MA0042.2", |
|
58 |
+ "Hsapiens-jaspar2016-HLF-MA0043.2"), |
|
59 |
+ chrom=c("chr1", "chr1", "chr1"), |
|
60 |
+ start=c(1000005, 1000085, 1000105), |
|
61 |
+ start=c(1000013, 1000092, 1000123), |
|
62 |
+ score=c(0.85, 0.92, 0.98), |
|
63 |
+ stringsAsFactors=FALSE) |
|
64 |
+ |
|
65 |
+ tbl.out <- associateTranscriptionFactors(MotifDb, tbl.motifDbExample, source="MotifDb", |
|
66 |
+ expand.rows=TRUE) |
|
67 |
+ dim(tbl.out) # one new column ("geneSymbol"), no new rows |
|
68 |
+} |
|
69 |
+\seealso{ |
|
70 |
+ MotifDb, |
|
71 |
+ geneToMotif, |
|
72 |
+ motifToGene, |
|
73 |
+ subset, |
|
74 |
+ query |
|
75 |
+} |
|
76 |
+ |
|
77 |
+\keyword{utilities} |