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.
Bioconductor version: Release (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")
):
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")
HTML | R Script | Using RTCGA to download RNAseq data as included in RTCGA.rnaseq |
Reference Manual |
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 |
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 |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: