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ChIPXpress

This is the released version of ChIPXpress; for the devel version, see ChIPXpress.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11

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


Bioconductor version: Release (3.23)

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 <georgetwu at gmail.com>

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

George Wu. ChIPXpress: ChIPXpress: enhanced transcription factor target gene identification from ChIP-seq and ChIP-chip data using publicly available gene expression profiles. doi:10.18129/B9.bioc.ChIPXpress, R package version 1.56.0, https://bioconductor.org/packages/ChIPXpress.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("ChIPXpress")

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

Documentation

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

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

Details

biocViews ChIPSeq, ChIPchip, Software
Version1.56.0
In Bioconductor sinceBioC 2.11 (R-2.15) (14 years)
License GPL(>=2)
Depends R (>= 2.10), ChIPXpressData
Imports Biobase, GEOquery, frma, affy, bigmemory, biganalytics
System Requirements
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Suggests mouse4302frmavecs, mouse4302.db, mouse4302cdf, RUnit, BiocGenerics
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Package Archives

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

Source Package ChIPXpress_1.56.0.tar.gz
Windows Binary (x86_64) ChIPXpress_1.56.0.zip
macOS Binary (big-sur-x86_64) ChIPXpress_1.56.0.tgz
macOS Binary (sonoma-arm64) ChIPXpress_1.56.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ChIPXpress
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ChIPXpress
Package Short Url https://bioconductor.org/packages/ChIPXpress/
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