cosmic-database

To download COSMIC cancer mutation data programmatically, you can use a script-based downloader that authenticates with your COSMIC email and password to retrieve specific GRCh38 or GRCh37 file paths and save them as gzipped TSV, CSV, or VCF assets.

For precision oncology workflows, you can retrieve Cancer Gene Census, core coding mutations, mutational signatures, structural variants, copy number, gene expression, resistance mutations, and sample metadata from authenticated COSMIC datasets.

Yes, you can load downloaded COSMIC TSV and CSV files directly into pandas for filtering and analysis, while VCF files can be processed with downstream tooling like pysam for variant-centric workflows.

Yes, downloading COSMIC datasets requires authentication via your registered COSMIC email and password to access and retrieve the authenticated cancer genomics files through the script-based downloader.

The best way to filter somatic mutations by gene or primary site is to download the coding mutations TSV dataset via the downloader and use pandas to query and filter the loaded dataframe by specific gene names or primary site columns.

Limitations include needing to specify reproducible GRCh38 or GRCh37 pathing for correct dataset retrieval, and the downloader only saves gzipped TSV, CSV, or VCF assets, requiring downstream tools for complete bioinformatics parsing.