Last data update: 2014.03.03

R: Save PMD segments
savePMDSegmentsR Documentation

Save PMD segments

Description

Save PMD segments in rds format and as tab-delimited file.

Usage

savePMDSegments(PMDs, GRangesFilename, TableFilename)

Arguments

PMDs

GRanges object containing the PMD segmentation. Return value of the segmentPMDs function (see example).

GRangesFilename

Filename of the GRanges object.

TableFilename

Filename of the PMD table.

Value

No return value.

Author(s)

Lukas Burger lukas.burger@fmi.ch

Examples


library(MethylSeekR)

# get chromosome lengths
library("BSgenome.Hsapiens.UCSC.hg18")
sLengths=seqlengths(Hsapiens)

# read methylation data
methFname <- system.file("extdata", "Lister2009_imr90_hg18_chr22.tab",
package="MethylSeekR")
meth.gr <- readMethylome(FileName=methFname, seqLengths=sLengths)

#segment PMDs
PMDsegments.gr <- segmentPMDs(m=meth.gr, chr.sel="chr22",
seqLengths=sLengths)

#save PMD segments
savePMDSegments(PMDs=PMDsegments.gr, GRangesFilename="PMDs.gr.rds",
 TableFilename="PMDs.tab")


Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(MethylSeekR)
Loading required package: rtracklayer
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: mhsmm
Loading required package: mvtnorm
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/MethylSeekR/savePMDSegments.Rd_%03d_medium.png", width=480, height=480)
> ### Name: savePMDSegments
> ### Title: Save PMD segments
> ### Aliases: savePMDSegments
> 
> ### ** Examples
> 
> 
> library(MethylSeekR)
> 
> # get chromosome lengths
> library("BSgenome.Hsapiens.UCSC.hg18")
Loading required package: BSgenome
Loading required package: Biostrings
Loading required package: XVector
> sLengths=seqlengths(Hsapiens)
> 
> # read methylation data
> methFname <- system.file("extdata", "Lister2009_imr90_hg18_chr22.tab",
+ package="MethylSeekR")
> meth.gr <- readMethylome(FileName=methFname, seqLengths=sLengths)
reading methylome data
Read 200000 records
> 
> #segment PMDs
> PMDsegments.gr <- segmentPMDs(m=meth.gr, chr.sel="chr22",
+ seqLengths=sLengths)
training PMD-HMM on chromosome chr22
performing viterbi segmentation
creating GRanges object
> 
> #save PMD segments
> savePMDSegments(PMDs=PMDsegments.gr, GRangesFilename="PMDs.gr.rds",
+  TableFilename="PMDs.tab")
> 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>