To install this package, start R and enter:

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

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

ChIPXpress

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

ChIPXpress: enhanced transcription factor target gene identification from ChIP-seq and ChIP-chip data using publicly available gene expression profiles

Bioconductor version: 3.4

ChIPXpress takes as input predicted TF bound genes from ChIPx data and uses a corresponding database of gene expression profiles downloaded from NCBI GEO to rank the TF bound targets in order of which gene is most likely to be functional TF target.

Author: George Wu

Maintainer: George Wu <gewu at jhsph.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ChIPXpress")
PDF R Script ChIPXpress
PDF Reference Manual

Details

biocViews ChIPSeq, ChIPchip, Software
Version 1.16.0
In Bioconductor since BioC 2.11 (R-2.15) (4.5 years)
License GPL(>=2)
Depends R (>= 2.10), ChIPXpressData
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Package Archives

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

Windows Binary
Mac OS X 10.9 (Mavericks) ChIPXpress_1.16.0.tgz
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