mosaicsExample

DOI: 10.18129/B9.bioc.mosaicsExample    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see mosaicsExample.

Example data for the mosaics package, which implements MOSAiCS and MOSAiCS-HMM, a statistical framework to analyze one-sample or two-sample ChIP-seq data for transcription factor binding and histone modification

Bioconductor version: 3.11

Data for the mosaics package, consisting of (1) chromosome 22 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding and H3K4me3 modification in MCF7 cell line from ENCODE database (HG19) and (2) chromosome 21 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding, with mappability, GC content, and sequence ambiguity scores of human genome HG18.

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

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

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

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("mosaicsExample")

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

Documentation

PDF   Reference Manual

Details

biocViews ChIPseqData, ExperimentData, Homo_sapiens
Version 1.26.0
License GPL (>= 2)
Depends R (>= 2.11.1)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://groups.google.com/group/mosaics_user_group
Depends On Me
Imports Me
Suggests Me mosaics
Links To Me
Build Report  

Package Archives

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

Source Package mosaicsExample_1.26.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/mosaicsExample
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mosaicsExample
Package Short Url https://bioconductor.org/packages/mosaicsExample/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: