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cmapR

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

CMap Tools in R


Bioconductor version: Development (3.19)

The Connectivity Map (CMap) is a massive resource of perturbational gene expression profiles built by researchers at the Broad Institute and funded by the NIH Library of Integrated Network-Based Cellular Signatures (LINCS) program. Please visit https://clue.io for more information. The cmapR package implements methods to parse, manipulate, and write common CMap data objects, such as annotated matrices and collections of gene sets.

Author: Ted Natoli [aut, cre]

Maintainer: Ted Natoli <ted.e.natoli at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("cmapR")

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

Documentation

Reference Manual PDF

Details

biocViews DataImport, DataRepresentation, GeneExpression, Software
Version 1.15.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License file LICENSE
Depends R (>= 4.0)
Imports methods, rhdf5, data.table, flowCore, SummarizedExperiment, matrixStats
System Requirements
URL https://github.com/cmap/cmapR
Bug Reports https://github.com/cmap/cmapR/issues
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Suggests knitr, testthat, BiocStyle, rmarkdown
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/cmapR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cmapR
Package Short Url https://bioconductor.org/packages/cmapR/
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