curatedTCGAData

DOI: 10.18129/B9.bioc.curatedTCGAData    

Curated Data From The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects

Bioconductor version: Release (3.6)

This package provides publicly available data from The Cancer Genome Atlas (TCGA) Bioconductor MultiAssayExperiment class objects. These objects integrate multiple assays (e.g. RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. The MultiAssayExperiment class links assay barcodes with patient IDs, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire experiment.

Author: Marcel Ramos <marcel.ramos at roswellpark.org>, Levi Waldron <lwaldron.research at gmail.com>, Lucas Schiffer <schiffer.lucas at gmail.com>, Valerie Obenchain <valerie.obenchain at roswellpark.org>, Morgan Martin <martin.morgan at roswellpark.org>

Maintainer: Marcel Ramos <marcel.ramos at roswellpark.org>

Installation

To install this package, start R and enter:

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

Documentation

HTML	R Script	curatedTCGAData
PDF		Reference Manual
Text		NEWS

Details

biocViews	CancerData, ExperimentData, Homo_sapiens_Data, ReproducibleResearch
Version	1.0.3
License	Artistic-2.0
Depends	R (>= 3.4.0), MultiAssayExperiment
Imports	AnnotationHub, ExperimentHub, S4Vectors, utils
LinkingTo
Suggests	BiocStyle, knitr, readr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	curatedTCGAData_1.0.3.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository	git clone https://git.bioconductor.org/packages/curatedTCGAData
Package Short Url	http://bioconductor.org/packages/curatedTCGAData/
Package Downloads Report	Download Stats