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

Bioconductor version: Release (3.19)

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] , Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb]

Maintainer: Marcel Ramos <marcel.ramos at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

curatedTCGAData HTML R Script
Reference Manual PDF


biocViews CancerData, ExperimentData, ExperimentHub, Homo_sapiens_Data, ReproducibleResearch
Version 1.26.0
License Artistic-2.0
Depends MultiAssayExperiment
Imports AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils
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Suggests BiocStyle, knitr, RaggedExperiment, readr, rmarkdown, TCGAutils, testthat
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Depends On Me
Imports Me AMARETTO, BiocOncoTK
Suggests Me CNVRanger, dce, glmSparseNet, netDx, TCGAutils
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Follow Installation instructions to use this package in your R session.

Source Package curatedTCGAData_1.26.0.tar.gz
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