mosaicsExample
This package is for version 3.15 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: 3.15
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("mosaicsExample")
):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mosaicsExample")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | ChIPseqData, ExperimentData, Homo_sapiens |
Version | 1.34.0 |
License | GPL (>= 2) |
Depends | R (>= 2.11.1) |
Imports | |
System Requirements | |
URL | http://groups.google.com/group/mosaics_user_group |
See More
Suggests | |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | mosaics |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mosaicsExample_1.34.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
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 |