To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RTCGA.rnaseq")

In most cases, you don't need to download the package archive at all.

RTCGA.rnaseq

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see RTCGA.rnaseq.

Rna-seq datasets from The Cancer Genome Atlas Project

Bioconductor version: 3.4

Package provides rna-seq datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Rna-seq data format is explained here https://wiki.nci.nih.gov/display/TCGA/RNASeq+Version+2. Data source is illumina hiseq Level 3 RSEM normalized expression data. Data from 2015-11-01 snapshot.

Author: Marcin Kosinski <m.p.kosinski at gmail.com>

Maintainer: Marcin Kosinski <m.p.kosinski at gmail.com>

Citation (from within R, enter citation("RTCGA.rnaseq")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RTCGA.rnaseq")

Documentation

HTML	R Script	Using RTCGA to download RNAseq data as included in RTCGA.rnaseq
PDF		Reference Manual

Details

biocViews	Annotation Data, ExperimentData
Version	20151101.4.0
License	GPL-2
Depends	R (>= 3.2.0), RTCGA
Imports
LinkingTo
Suggests	knitr
SystemRequirements
Enhances
URL
BugReports	https://github.com/RTCGA/RTCGA/issues
Depends On Me
Imports Me
Suggests Me	RTCGA
Build Report

Package Archives

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

Package Source	RTCGA.rnaseq_20151101.4.0.tar.gz
Windows Binary
Mac OS X 10.9 (Mavericks)
Subversion source	(username/password: readonly)
Package Short Url	http://bioconductor.org/packages/RTCGA.rnaseq/
Package Downloads Report	Download Stats

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