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>

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