tile_by_windows: Group cytosine / CpG level data into regions based on genomic...
In sartorlab/methylSig: MethylSig: Differential Methylation Testing for WGBS and RRBS Data
View source: R/tile_by_windows.R
tile_by_windows R Documentation
Group cytosine / CpG level data into regions based on genomic windows
Description
An optional function to aggregate cytosine / CpG level data into regions based on a tiling of the genome by win_size.
Usage
tile_by_windows(bs, win_size = 200)
Arguments
bs
a BSseq object.
win_size
an integer indicating the size of the tiles. Default is 200bp.
Value
A BSseq object with loci consisting of a tiling of the genome by win_size bp tiles. Coverage and methylation read count matrices are aggregated by the sums of the cytosines / CpGs in the regions per sample.
Examples
data(bsseq_stranded, package = 'methylSig')
tiled = tile_by_windows(bs = bsseq_stranded, win_size = 50)
sartorlab/methylSig documentation built on March 26, 2023, 10:04 a.m.
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View source: R/tile_by_windows.R
| tile_by_windows | R Documentation |
Group cytosine / CpG level data into regions based on genomic windows
Description
An optional function to aggregate cytosine / CpG level data into regions based on a tiling of the genome by win_size.
Usage
tile_by_windows(bs, win_size = 200)
Arguments
bs |
a |
win_size |
an |
Value
A BSseq object with loci consisting of a tiling of the genome by win_size bp tiles. Coverage and methylation read count matrices are aggregated by the sums of the cytosines / CpGs in the regions per sample.
Examples
data(bsseq_stranded, package = 'methylSig')
tiled = tile_by_windows(bs = bsseq_stranded, win_size = 50)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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