Filters the chromosomes in a region set. It can either filter using a predefined chromosome set (e.g. "autosomal
chromosomes in Homo sapiens") or using a custom chromosome set (e.g. only chromosomes "chr22" and "chrX")
a region set in any of the formats accepted by toGRanges (GenomicRanges, data.frame, etc...)
organism
a character indicating the organism from which to get the predefined chromosome sets. It can be the organism code as used in BSgenome (e.g. hg for human, mm for mouse...) or the full genome assembly identifier, since any digit will be removed to get the organism code.
chr.type
a character indicating the specific chromosome set to be used. Usually "autosomal" or "canonical", althought other values could be available for certain organisms.
keep.chr
is a character vector stating the names of the chromosomes to keep. Any chromosome not in the vector will be filtered out. If keep.chr is supplied, organism and chr.type are ignored.
Value
A GRanges object containing only the regions in the original region set belonging to the selected chromosomes. All regions in non selected chromosomes are removed.
g <- getGenomeAndMask("hg19")$genome
listChrTypes()
g <- filterChromosomes(g, chr.type="autosomal", organism="hg19")
g <- filterChromosomes(g, keep.chr=c("chr1", "chr2", "chr3"))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(regioneR)
Loading required package: memoise
Loading required package: GenomicRanges
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: BSgenome
Loading required package: Biostrings
Loading required package: XVector
Loading required package: rtracklayer
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/regioneR/filterChromosomes.Rd_%03d_medium.png", width=480, height=480)
> ### Name: filterChromosomes
> ### Title: filterChromosomes
> ### Aliases: filterChromosomes
>
> ### ** Examples
>
>
> g <- getGenomeAndMask("hg19")$genome
> listChrTypes()
Homo sapiens (hg): autosomal, canonical
Mus musculus (mm): autosomal, canonical
Bos taurus (bosTau): autosomal, canonical
Caenorhabditis elegans (ce): autosomal, canonical
Danio rerio (danRer): canonical
Macaca mulata (rheMac): autosomal, canonical
Rattus norvegicus (rn): autosomal, canonical
Saccharomyces cerevisiae (sacCer): autosomal, canonical
Drosophila melanogaster (dm): autosomal, canonical
Pan troglodytes (panTro): autosomal, canonical
> g <- filterChromosomes(g, chr.type="autosomal", organism="hg19")
> g <- filterChromosomes(g, keep.chr=c("chr1", "chr2", "chr3"))
>
>
>
>
>
>
>
> dev.off()
null device
1
>