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rcellminer

rcellminer: Molecular Profiles, Drug Response, and Chemical Structures for the NCI-60 Cell Lines

Bioconductor version: 3.23 · Package version: 2.34.0

The NCI-60 cancer cell line panel has been used over the course of several decades as an anti-cancer drug screen. This panel was developed as part of the Developmental Therapeutics Program (DTP, http://dtp.nci.nih.gov/) of the U.S. National Cancer Institute (NCI). Thousands of compounds have been tested on the NCI-60, which have been extensively characterized by many platforms for gene and protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose of the CellMiner project (http://discover.nci.nih.gov/ cellminer) has been to integrate data from multiple platforms used to analyze the NCI-60 and to provide a powerful suite of tools for exploration of NCI-60 data.

Installation

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

BiocManager::install("rcellminer")

Details

MaintainerAugustin Luna <augustin.luna@nih.gov>, Vinodh Rajapakse <vinodh.rajapakse@nih.gov>, Fathi Elloumi <fathi.elloumi@nih.gov>
AuthorAugustin Luna, Vinodh Rajapakse, Fabricio Sousa
LicenseLGPL-3 + file LICENSE
URLhttp://discover.nci.nih.gov/cellminer/
Downloads rank627
Source branchRELEASE_3_23
biocViewsCellBasedAssays, Cheminformatics, CopyNumberVariation, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software, SystemsBiology, Visualization, aCGH, miRNA

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagercellminer_2.34.0.tar.gz
Windows binary (x86_64)rcellminer_2.34.0.zip
macOS binary (arm64)rcellminer_2.34.0.tgz
macOS binary (x86_64)rcellminer_2.34.0.tgz
Dependencies

Depends: R (>= 3.2), Biobase, rcellminerData (>= 2.0.0)

Imports: stringr, gplots, ggplot2, methods, stats, utils, shiny

Suggests: knitr, RColorBrewer, sqldf, BiocGenerics, testthat, BiocStyle, jsonlite, heatmaply, glmnet, foreach, doSNOW, parallel, rmarkdown

Reverse dependencies

Suggests Me (1): rcellminerData