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To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mosaicsExample")

In most cases, you don't need to download the package archive at all.

This package is for version 3.4 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: 3.4

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mosaicsExample")

Documentation

Details

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