Multi-omics analysis has grown in popularity among biomedical researchers given the comprehensive characterization of thousands of molecular attributes in addition to clinical attributes. Several data portals have been devised to make these datasets directly available to the cancer research community. However, none of the existing data portals allow systematic exploration and interpretation of the complex relationships between the vast amount of clinical and molecular attributes. CPTAC investigator Dr. Bing Zhang and his research team at Baylor College of Medicine developed and maintains LinkedOmics, a publicly available data portal designed for clinicians and biologists to access, analyze, and compare cancer multi-omics data within and across tumor types.
As reported in the journal Nucleic Acids Research, the LinkedOmics database contains multi-omics and clinical data for 32 cancer types and a total of 11,158 patients from The Cancer Genome Atlas (TCGA) project. LinkedOmics is also the first multi-omics database that integrates mass-spectrometry (MS)-based global proteomics data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) on selected TCGA tumor samples. The three analysis modules LinkFinder, LinkCompare, and LinkInterpreter, allow the user to comprehensively analyze the billion data points provided by LinkedOmics. Although LinkedOmics currently uses TCGA and CPTAC data, it can support other cohort-based multi-omics studies to demonstrate its utility as a resource in human cancer studies.
This article is published online in Nucleic Acids Research.
For more information on LinkedOmics and access to workshop tutorials and manuals – click here.
Visit the CPTAC Data Portal to access CPTAC datasets – click here.