R: Calculate Methylation Average of given methylation matrix
methAvg
R Documentation
Calculate Methylation Average of given methylation matrix
Description
Methylation average of a CpG site is the percentage of unmethylated cytosine or methylated cytosine in a particular CpG site. The methylation average of a particular CpG site was calculated by number of cytosine divided by sum of total number of methylated and unmethylated cytosine at particular CpG site in a group of reads.
average = NC/(NC + NT)
Usage
methAvg(Sample, plot = FALSE)
Arguments
Sample
Matrix from methAlign. Also matrix where columns represents Cytosine of CpG sites and rows represents sequences.
plot
Boolean. TRUE if need a plot after calculation. Default FALSE
Value
Vector containing average methylation of given methylation matrix. Length of the vector represents the number of CpG sites in methylation matrix.
Author(s)
Muhammad Ahmer Jamil, Prof. Holger Frohlich, Priv.-Doz. Dr. Osman El-Maarri
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(MethTargetedNGS)
Loading required package: stringr
Loading required package: seqinr
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: Biostrings
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 object is masked from 'package:gplots':
space
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: IRanges
Loading required package: XVector
Attaching package: 'Biostrings'
The following object is masked from 'package:seqinr':
translate
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/MethTargetedNGS/methAvg.Rd_%03d_medium.png", width=480, height=480)
> ### Name: methAvg
> ### Title: Calculate Methylation Average of given methylation matrix
> ### Aliases: methAvg
> ### Keywords: Average Methylation
>
> ### ** Examples
>
> healthy = system.file("extdata", "Healthy.fasta", package = "MethTargetedNGS")
> reference = system.file("extdata", "Reference.fasta", package = "MethTargetedNGS")
> methP <- methAlign(healthy,reference)
Time difference of 2.11 secs
> avgMeth <- methAvg(methP,plot=TRUE)
>
>
>
>
>
>
> dev.off()
null device
1
>