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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 3.2 of Bioconductor; for the stable, up-to-date release version, see RTCGA.rnaseq.
Rna-seq datasets from The Cancer Genome Atlas Project
Bioconductor version: 3.2
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.
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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RTCGA.rnaseq")
| HTML | Using RTCGA package to download rna-seq data that are included in RTCGA.rnaseq package | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Annotation Data, ExperimentData |
| Version | 1.0.0 |
| License | GPL-2 |
| Depends | R (>= 3.2.0), RTCGA |
| Imports | |
| LinkingTo | |
| Suggests | knitr |
| SystemRequirements | |
| Enhances | |
| URL | |
| BugReports | https://github.com/mi2-warsaw/RTCGA.data/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_1.0.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | |
| 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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