ChIPXpressData

This is the development version of ChIPXpressData; for the stable release version, see ChIPXpressData.

ChIPXpress Pre-built Databases

Bioconductor version: Development (3.24)

Contains pre-built mouse (GPL1261) and human (GPL570) database of gene expression profiles to be used for ChIPXpress ranking.

Author: George Wu

Maintainer: George Wu <gewu at jhsph.edu>

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

Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

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


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("ChIPXpressData")

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

Documentation


Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, GEO, Homo_sapiens_Data, Mus_musculus_Data
Version	1.51.1
License	GPL (>=2)
Depends	bigmemory
Imports
System Requirements
URL

Suggests
Linking To
Enhances
Depends On Me	ChIPXpress
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	ChIPXpressData_1.51.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/ChIPXpressData
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ChIPXpressData
Package Short Url	https://bioconductor.org/packages/ChIPXpressData/
Package Downloads Report	Download Stats