Loading Bis-seq data from tab-delimited file or saved GRanges object
Usage
readMethylome(FileName, seqLengths, format = "text")
Arguments
FileName
File name.
seqLengths
A named vector indicating the chromosome lengths of
the genome used.
format
File format. If format is set to "text" (default), the
argument FileName should refer to a tab-delimited text file in the
format: chromosome position T M, where each line stands for a CpG, the
position refers to the C of the CpG (on the plus strand), T is the
total number of reads (total counts) covering the CpG and M the total
number of reads without C to T conversion at the C of the CpG
(methylation counts). If format="GRanges", the file is assumed to be a
GRanges object, containing T and M as first and second data-value
entries, saved in rds format.
Value
A GRanges object containing the coordinates, total (T) and methylated
counts (M)
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)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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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/readMethylome.Rd_%03d_medium.png", width=480, height=480)
> ### Name: readMethylome
> ### Title: Load Bis-seq data
> ### Aliases: readMethylome
>
> ### ** 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
>
>
>
>
>
>
>
> dev.off()
null device
1
>