geneXtendeR

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see geneXtendeR.

Optimal Gene Extensions From Histone Modification ChIP-seq Data

Bioconductor version: 3.4

geneXtendeR is designed to optimally annotate a histone modification ChIP-seq peak input file with functionally important genomic features (e.g., genes associated with peaks) based on optimization calculations. geneXtendeR optimally extends the boundaries of every gene in a genome by some genomic distance (in DNA base pairs) for the purpose of flexibly incorporating cis-regulatory elements (CREs), such as enhancers and promoters, as well as downstream elements that are important to the function of the gene relative to an epigenetic histone modification ChIP-seq dataset. geneXtender computes optimal gene extensions tailored to the broadness of the specific epigenetic mark (e.g., H3K9me1, H3K27me3), as determined by a user-supplied ChIP-seq peak input file. As such, geneXtender maximizes the signal-to-noise ratio of locating genes closest to and directly under peaks. By performing a computational expansion of this nature, ChIP-seq reads that would initially not map strictly to a specific gene can now be optimally mapped to the regulatory regions of the gene, thereby implicating the gene as a potential candidate, and thereby making the ChIP-seq experiment more successful. Such an approach becomes particularly important when working with epigenetic histone modifications that have inherently broad peaks.

Author: Bohdan Khomtchouk [aut, cre]

Maintainer: Bohdan Khomtchouk <khomtchoukmed 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("geneXtendeR")

Documentation

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

browseVignettes("geneXtendeR")

Details

Package Archives

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