mosaics

DOI: 10.18129/B9.bioc.mosaics    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see mosaics.

MOSAiCS (MOdel-based one and two Sample Analysis and Inference for ChIP-Seq)

Bioconductor version: 3.15

This package provides functions for fitting MOSAiCS and MOSAiCS-HMM, a statistical framework to analyze one-sample or two-sample ChIP-seq data of transcription factor binding and histone modification.

Author: Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles

Maintainer: Dongjun Chung <dongjun.chung at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("mosaics")

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("mosaics")

 

PDF	R Script	MOSAiCS
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bioinformatics, ChIPseq, Genetics, Sequencing, Software, Transcription
Version	2.34.0
In Bioconductor since	BioC 2.8 (R-2.13) (11.5 years)
License	GPL (>= 2)
Depends	R (>= 3.0.0), methods, graphics, Rcpp
Imports	MASS, splines, lattice, IRanges, GenomicRanges, GenomicAlignments, Rsamtools, GenomeInfoDb, S4Vectors
LinkingTo	Rcpp
Suggests	mosaicsExample
SystemRequirements	Perl
Enhances	parallel
URL	http://groups.google.com/group/mosaics_user_group
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	mosaics_2.34.0.tar.gz
Windows Binary	mosaics_2.34.0.zip (64-bit only)
macOS Binary (x86_64)	mosaics_2.34.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mosaics
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mosaics
Package Short Url	https://bioconductor.org/packages/mosaics/
Package Downloads Report	Download Stats