Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
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Updated
Apr 29, 2025 - R
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Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
TCGAbiolinks
📦 An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/
Provide R access to the NCI Genomic Data Commons portal.
Bioconductor package for management of multi-assay data
Interactive R package to quantify, analyse and visualise alternative splicing
Toolbox package for organizing and working with TCGA data
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
The pipeline to produce TCGA data as MultiAssayExperiment objects
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Simulation of interactions miRNA:Competing Targets
DEEPEST-Fusion is a fusion detection algorithm specially designed for screening massive cancer sequencing databases
Example data to TCGAWorkflow
Supplementary Material of manuscript, and Cutoff Finding R script
HNSCC survival analysis
Genomic data from TCGA ready to be used (organized per tissue type and in matrix form)
Benchmark survival ML models against a multimodal TCGA dataset
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