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GeoTcgaData

Processing Various Types of Data on GEO and TCGA

Bioconductor version: 3.23 · Package version: 2.12.0

Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.

Installation

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

BiocManager::install("GeoTcgaData")

Details

MaintainerErqiang Hu <13766876214@163.com>
AuthorErqiang Hu [aut, cre] (ORCID: <https://orcid.org/0000-0002-1798-7513>)
LicenseArtistic-2.0
URLhttps://github.com/YuLab-SMU/GeoTcgaData
Bug Reportshttps://github.com/YuLab-SMU/GeoTcgaData/issues
Downloads rank254
Source branchRELEASE_3_23
biocViewsATACSeq, CopyNumberVariation, DNAMethylation, DifferentialExpression, DifferentialMethylation, GeneExpression, MethylationArray, Microarray, RNASeq, SNP, Software

Documentation

Download

Dependencies

Depends: R (>= 4.2.0)

Imports: utils, data.table, plyr, cqn, topconfects, stats, SummarizedExperiment, methods

Suggests: knitr, rmarkdown, DESeq2, S4Vectors, ChAMP, impute, tidyr, clusterProfiler, org.Hs.eg.db, edgeR, limma, quantreg, minfi, IlluminaHumanMethylation450kanno.ilmn12.hg19, dearseq, NOISeq, testthat (>= 3.0.0), CATT, TCGAbiolinks, enrichplot, GEOquery, BiocGenerics