scaledWindowPositions: Scale (bin) windows to a meta window of given size

In Roleren/ORFik: Open Reading Frames in Genomics

Scale (bin) windows to a meta window of given size

Description

For example scale a coverage table of a all human CDS to width 100

Usage

scaledWindowPositions(
  grl,
  reads,
  scaleTo = 100,
  scoring = "meanPos",
  weight = "score",
  is.sorted = FALSE,
  drop.zero.dt = FALSE
)

Arguments

grl	a GRangesList of 5' utrs, CDS, transcripts, etc.
reads	a GAlignments, GRanges, or precomputed coverage as covRle (one for each strand) of RiboSeq, RnaSeq etc. Weigths for scoring is default the 'score' column in 'reads'. Can also be random access paths to bigWig or fstwig file. Do not use random access for more than a few genes, then loading the entire files is usually better. File streaming is still in beta, so use with care!
scaleTo	an integer (100), if windows have different size, a meta window can not directly be created, since a meta window must have equal size for all windows. Rescale all windows to scaleTo. i.e c(1,2,3) -> size 2 -> c(1, mean(2,3)) etc. Can also be a vector, 1 number per grl group.
scoring	a character, one of (meanPos, sumPos, ..) Check the coverageScoring function for more options.
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. ORFik ofst, bedoc and .bedo files contains a score column like this. 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)

Details

Nice for making metaplots, the score will be mean of merged positions.

Value

A data.table with scored counts (counts) of reads mapped to positions (position) specified in windows along with frame (frame).

See Also

Other coverage: coverageScorings(), metaWindow(), regionPerReadLength(), windowPerReadLength()

Examples

library(GenomicRanges)
windows <- GRangesList(GRanges("chr1", IRanges(1, 200), "-"))
x <- GenomicRanges::GRanges(
  seqnames = "chr1",
  ranges =  IRanges::IRanges(c(1, 100, 199), c(2, 101, 200)),
  strand = "-")
scaledWindowPositions(windows, x, scaleTo = 100)

Roleren/ORFik documentation built on Nov. 13, 2024, 10 p.m.