20. A resource for our clinical genomics community: The Compendium of Cancer Genome Aberrations (CCGA)

      The Compendium of Cancer Genome Aberrations (CCGA, http://www.ccga.io) is a Cancer Genomics Consortium (CGC)-supported resource cataloging genomic/genetic abnormalities in neoplasia. This Wiki style interface promotes expert crowdsourcing, real-time editing and content sharing within our genomics community. The CCGA is intended to be a central hub of information with primary content plus direct links to pertinent literature and external databases for interpretation of molecular and cytogenetics cancer cases. Within the CCGA, expert authors add content to pages created based on the current World Health Organization classification designations or other entities of interest using a standardized template. Referenced information ranges from clinicopathologic descriptions of disease such as immunophenotype and clinical significance, to genomic and genetic characteristics including chromosome rearrangement/gene fusion, abnormality pattern, copy number aberrations, LOH, gene mutations, and epigenomics, with their associated affected genes and pathways. Circos and TCGA aggregate data plots summarizing genetic findings by disease type that demonstrate patterns are generated, as well as gene-specific pages for cancer-associated genes. In addition, disease overview pages for major categories such as AML allow for quick access to all AML-related content including data visualizations plus links to all gene and disease-related internal and external pages. Content has been completed for AML and B-ALL, with progress currently being made on additional myeloid disorders. Efforts to recruit volunteer experts are ongoing and an update on this resource will be provided. Continued support and input from CGC members will ensure the success of CCGA.
      To read this article in full you will need to make a payment


      Subscribe to Cancer Genetics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect