DMCHMM
This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see DMCHMM.
Differentially Methylated CpG using Hidden Markov Model
Bioconductor version: 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 (version "3.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DMCHMM")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual
PDF
NEWS
Text
Details
Version
1.0.0
In Bioconductor since
BioC 3.6 (R-3.4) (6.5 years)
License
GPL-3
Depends
R (>= 3.4.0), SummarizedExperiment, methods, S4Vectors, BiocParallel, GenomicRanges, IRanges, fdrtool
Imports
utils, stats, grDevices, rtracklayer, multcomp, calibrate, graphics
System Requirements
Bug Reports
https://github.com/shokoohi/DMCHMM/issues
See More
Suggests
testthat, knitr
Linking To
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Build Report
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
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/DMCHMM
Package Short Url
https://bioconductor.org/packages/DMCHMM/
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