... | ... |
@@ -301,6 +301,10 @@ setMethod("findOverlaps", c("FWGRanges", "FWGRanges"), .findOverlaps_FWGRanges) |
301 | 301 |
BPPARAM) { |
302 | 302 |
subverbose <- max(as.integer(verbose) - 1L, 0L) |
303 | 303 |
|
304 |
+ # TODO: Instead of using the 'largest' file, use the largest |
|
305 |
+ # 'cytosine report' file, which will have all loci in the |
|
306 |
+ # reference genome; provided all samples were aligned to the same |
|
307 |
+ # reference genome, this means it contains all loci. |
|
304 | 308 |
# TODO: Initialise using the 'largest' file (i.e. largest number of lines)? |
305 | 309 |
# Would like to do this without reading the data into memory. |
306 | 310 |
# Some benchmarks can be found at |
... | ... |
@@ -577,7 +577,7 @@ read.bismark <- function(files, |
577 | 577 |
# TODO: (long term) Current implementation requires that user can load at least |
578 | 578 |
# one sample's worth of data into memory per worker. Could instead read |
579 | 579 |
# chunks of data, write to sink, load next chunk, etc. |
580 |
-# TODO: Document that if 'gr' is NULL and any 'files' (especially the first |
|
580 |
+# TODO: Document that if 'loci' is NULL and any 'files' (especially the first |
|
581 | 581 |
# file) are .cov files, then any loci present in the .cov files will have |
582 | 582 |
# their strand set to *. If you are mixing and matching .cov and |
583 | 583 |
# .cytosineReport files and don't want this behaviour (i.e. you want to |