The reference atlas of cancer genomes that most cancer biology since 2008 is built on.
The NCI Genomic Data Commons hosts The Cancer Genome Atlas, multi-omic data on more than 11,000 tumours across 33 cancer types, together with TARGET, CPTAC and other programmes. Mutations, copy number, RNA, methylation, protein and clinical data are harmonised into one portal, which is why it has become the training set for most cancer machine learning and the reference atlas that most cancer biology since 2008 is built on. The NCI maintains it; processed data are open and raw sequence is under controlled access. On OnCo it is tied to Whole-exome and whole-genome sequencing and DNA methylation profiling, and it is cited by the bottleneck Data silos, the paper TCGA Pan-Cancer Atlas, the Virtual cell roadmap and the Drug discovery roadmap.
TIMER2.0 is one of the most used tools in cancer immunogenomics and its multi-algorithm design is a reminder that computational immune cell estimates are model-dependent and should be cross-checked.
Cancers are defined as much by the tissue they come from as by the mutations they carry, which is why the same drug can work in one organ and fail in another with the same mutation. TCGA is the shared public dataset behind most modern biomarkers and target discovery.
TIMER made immune infiltration analysis accessible to any group with tumour expression data, which is why it is cited so heavily; it is a standard first step in linking a gene or mutation to the immune state of a cancer.
Shares TCGA open versus controlled data tiers, Controlled-access genomic data (dbGaP, EGA), Cancer AI vocabulary (CanSim terms map).
Shares Link single-cell and spatial tumour atlases to clinical outcomes, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, Data silos, Cancer AI vocabulary (CanSim terms map).
Shares TCGA barcode, Cancer AI vocabulary (CanSim terms map).
Shares Link single-cell and spatial tumour atlases to clinical outcomes, Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Cancer AI vocabulary (CanSim terms map).
Shares Controlled-access genomic data (dbGaP, EGA), Cancer AI vocabulary (CanSim terms map).
Shares Reverse-phase protein array (RPPA), Cancer AI vocabulary (CanSim terms map).
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico.
Shares A global rapid tissue donation network for metastatic disease, Data silos, Whole-exome & whole-genome sequencing.
Open-source projects that are the code behind this collection or publish it, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
A Bioconductor package that queries, downloads and prepares TCGA and other GDC data for analysis in R.
The command-line client for downloading from the NCI Genomic Data Commons, home of TCGA, TARGET and CPTAC genomics.
The schema that defines every entity and field in the Genomic Data Commons.
Curated, ready-to-analyse TCGA multi-assay data as Bioconductor objects.