DMCHMM

DOI: 10.18129/B9.bioc.DMCHMM    

Differentially Methylated CpG using Hidden Markov Model

Bioconductor version: Release (3.13)

A pipeline for identifying differentially methylated CpG sites using Hidden Markov Model in bisulfite sequencing data.

Author: Farhad Shokoohi [aut, cre]

Maintainer: Farhad Shokoohi <shokoohi at icloud.com>

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DMCHMM")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DMCHMM")

 

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Details

biocViews Coverage, DifferentialMethylation, HiddenMarkovModel, Sequencing, Software
Version 1.14.0
In Bioconductor since BioC 3.6 (R-3.4) (4 years)
License GPL-3
Depends R (>= 4.0.0), 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
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Build Report  

Package Archives

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

Source Package DMCHMM_1.14.0.tar.gz
Windows Binary DMCHMM_1.14.0.zip
macOS 10.13 (High Sierra) DMCHMM_1.14.0.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/
Package Downloads Report Download Stats

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