View source: R/coverage_helpers.R
splitIn3Tx | R Documentation |
The 3 parts of transcripts are the leaders, the cds' and trailers. Per transcript part, bin them all to windowSize (default 100), and make a data.table, rows are positions, useful for plotting with ORFik and ggplot2.
splitIn3Tx(
leaders,
cds,
trailers,
reads,
windowSize = 100,
fraction = "1",
weight = "score",
is.sorted = FALSE,
drop.zero.dt = FALSE,
BPPARAM = BiocParallel::SerialParam()
)
leaders |
a |
cds |
a |
trailers |
a |
reads |
GRanges or GAlignment of reads |
windowSize |
an integer (100), size of windows (columns). All genes with region smaller than this size are filter out for metacoverage. |
fraction |
a character (1), info on reads (which read length, or which type (RNA seq)) (row names) |
weight |
(default: 'score'), if defined a character name of valid meta column in subject. GRanges("chr1", 1, "+", score = 5), would mean score column tells that this alignment region was found 5 times. Formats which loads a score column like this: Bigwig, wig, ORFik ofst, collapsed bam, bedoc and .bedo. As do CAGEr CAGE files and many other package formats. You can also assign a score column manually. |
is.sorted |
logical (FALSE), is grl sorted. That is + strand groups in increasing ranges (1,2,3), and - strand groups in decreasing ranges (3,2,1) |
drop.zero.dt |
logical FALSE, if TRUE and as.data.table is TRUE, remove all 0 count positions. This greatly speeds up and most importantly, greatly reduces memory usage. Will not change any plots, unless 0 positions are used in some sense. (mean, median, zscore coverage will only scale differently) |
BPPARAM |
how many cores/threads to use? default: bpparam() |
a data.table with columns position, score
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