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Bioconductor - curatedTCGAData (development version)

curatedTCGAData

This is the development version of curatedTCGAData; for the stable release version, see curatedTCGAData.

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

Bioconductor version: Development (3.22)

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

Author: Marcel Ramos [aut, cre] ORCID: 0000-0002-3242-0582 , Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb]

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

Citation (from within R, enter citation("curatedTCGAData")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("curatedTCGAData")

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("curatedTCGAData")
Details biocViews CancerData, ExperimentData, ExperimentHub, Homo_sapiens_Data, ReproducibleResearch Version 1.31.1 License Artistic-2.0 Depends R (>= 4.5.0), MultiAssayExperiment Imports AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils System Requirements URL Bug Reports https://github.com/waldronlab/curatedTCGAData/issues See More Package Archives

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


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