cbioportal-database

You can fetch cancer genomics data from cBioPortal by using this Skill to query REST API endpoints for study-wide mutations, CNAs, expression, and clinical attributes. It provides structured responses for direct downstream analysis.

Yes, you can perform pan-cancer mutation analysis across TCGA and GENIE studies. This Skill enables gene-centric queries and study-wide summaries to compare genomic alterations and clinical outcomes across multiple large cancer datasets.

You can extract clinical data attributes from cBioPortal for survival analysis by retrieving sample-level clinical data through defined API endpoints. This supports correlating genomic alterations with clinical outcomes across available studies.

To retrieve mRNA expression and methylation profiles for specific genes, use this Skill to query gene-centric endpoints in cBioPortal. It delivers sample-level retrieval for multi-omics profiling including mRNA, RPPA, and methylation data.

Yes, this approach supports reproducible workflows for cancer genomics data extraction. By leveraging defined cBioPortal REST API endpoints and structured data responses, it eliminates manual scraping and ensures consistent data retrieval.

The best way to correlate genomic alterations with clinical outcomes in cancer studies is through programmatic API access. This Skill retrieves mutation landscapes and clinical attributes from cBioPortal to identify associations across TCGA and GENIE datasets.