ConnectivityMap

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

Functional connections between drugs, genes and diseases as revealed by common gene-expression changes

Platform availability badge Ranking badge Support activity badge Build results badge Last commit badge Dependency count badge

DOI: 10.18129/B9.bioc.ConnectivityMap

Bioconductor version: Release (3.22)

The Broad Institute's Connectivity Map (cmap02) is a "large reference catalogue of gene-expression data from cultured human cells perturbed with many chemicals and genetic reagents", containing more than 7000 gene expression profiles and 1300 small molecules.

Author: Paul Shannon

Maintainer: Paul Shannon<pshannon at systemsbiology.org>

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

Installation

To install this package, start R (version "4.5") and enter:


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

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 CancerData, ExperimentData, MicroarrayData

Version 1.46.0

License GPL-3

Depends R (>= 2.15.1)

Imports

System Requirements

URL

Suggests RUnit, BiocGenerics

Linking To

Enhances

Depends On Me

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 ConnectivityMap_1.46.0.tar.gz

Windows Binary (x86_64)

macOS Binary (x86_64)

macOS Binary (arm64)

Source Repository git clone https://git.bioconductor.org/packages/ConnectivityMap

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ConnectivityMap

Package Short Url https://bioconductor.org/packages/ConnectivityMap/

Package Downloads Report Download Stats