Last data update: 2014.03.03

R: Merge Regions
mergeRegionsR Documentation

Merge Regions

Description

Merges the overlapping regions from two region sets. The two region sets are first merged into one and then overlapping regions are fused.

Usage

mergeRegions(A, B)

Arguments

A

a region set in any of the accepted formats by toGRanges (GenomicRanges, data.frame, etc...)

B

a region set in any of the accepted formats by toGRanges (GenomicRanges, data.frame, etc...)

Value

It returns a GenomicRanges object with the regions resulting from the merging process. Any two overlapping regions from any of the two sets will be fused into one.

Note

All metadata (additional columns in the region set in addition to chromosome, start and end) will be ignored and not present in the returned region set.

The implementation relies completely in the reduce function from IRanges package.

See Also

plotRegions, toDataframe, toGRanges, subtractRegions, splitRegions, extendRegions, joinRegions, commonRegions, overlapRegions

Examples

A <- data.frame("chr1", c(1, 5, 20, 30), c(8, 13, 28, 40), x=c(1,2,3,4), y=c("a", "b", "c", "d"))

B <- data.frame("chr1", 25, 35)

merges <- mergeRegions(A, B)

plotRegions(list(A, B, merges), chromosome="chr1", regions.labels=c("A", "B", "merges"), regions.colors=3:1)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> 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/mergeRegions.Rd_%03d_medium.png", width=480, height=480)
> ### Name: mergeRegions
> ### Title: Merge Regions
> ### Aliases: mergeRegions
> 
> ### ** Examples
> 
> A <- data.frame("chr1", c(1, 5, 20, 30), c(8, 13, 28, 40), x=c(1,2,3,4), y=c("a", "b", "c", "d"))
> 
> B <- data.frame("chr1", 25, 35)
> 
> merges <- mergeRegions(A, B)
> 
> plotRegions(list(A, B, merges), chromosome="chr1", regions.labels=c("A", "B", "merges"), regions.colors=3:1)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>