rcellminerData

DOI: 10.18129/B9.bioc.rcellminerData    

rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines

Bioconductor version: Release (3.14)

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.

Author: Augustin Luna, Vinodh Rajapakse, Fabricio Sousa

Maintainer: Augustin Luna <lunaa at cbio.mskcc.org>, Vinodh Rajapakse <vinodh.rajapakse at nih.gov>, Fathi Elloumi <fathi.elloumi at nih.gov>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("rcellminerData")

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("rcellminerData")

 

HTML	R Script	Accessing CellMiner Data
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData
Version	2.16.0
License	LGPL-3 + file LICENSE
Depends	R (>= 3.5.0), Biobase
Imports
LinkingTo
Suggests	knitr, testthat, BiocStyle, rcellminer, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me	rcellminer
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	rcellminerData_2.16.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/rcellminerData
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/rcellminerData
Package Short Url	https://bioconductor.org/packages/rcellminerData/
Package Downloads Report	Download Stats