To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DMCHMM")

In most cases, you don't need to download the package archive at all.

DMCHMM

DOI: 10.18129/B9.bioc.DMCHMM    

Differentially Methylated CpG using Hidden Markov Model

Bioconductor version: Release (3.6)

DMCHMM is a novel profiling tool for identifying differentially methylated CpG sites using Hidden Markov Model in bisulfite sequencing data.

Author: Farhad Shokoohi

Maintainer: Farhad Shokoohi <shokoohi at icloud.com>

Citation (from within R, enter citation("DMCHMM")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DMCHMM")

Documentation

HTML R Script DMCHMM
PDF   Reference Manual
Text   NEWS

Details

biocViews Coverage, DifferentialMethylation, HiddenMarkovModel, Sequencing, Software
Version 1.0.0
License GPL-3
Depends R (>= 3.4.0), SummarizedExperiment, methods, S4Vectors, BiocParallel, GenomicRanges, IRanges, fdrtool
Imports utils, stats, grDevices, rtracklayer, multcomp, calibrate, graphics
LinkingTo
Suggests testthat, knitr
SystemRequirements
Enhances
URL
BugReports https://github.com/shokoohi/DMCHMM/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DMCHMM_1.0.0.tar.gz
Windows Binary DMCHMM_1.0.0.zip
Mac OS X 10.11 (El Capitan) DMCHMM_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DMCHMM
Package Short Url http://bioconductor.org/packages/DMCHMM/
Package Downloads Report Download Stats

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