Clinical Interpretation of Variants in Cancer (CIViC) Knowledgebase
When: Feb. 28th, 2020 12:30 pm - 1:30 pm
About this Class
https://cbiit.webex.com/recordingservice/sites/cbiit/recording/play/e688e94d71934c4183480167b05f0f67
The CIViC knowledgebase (www.civicdb.org) is an open access, open source, community-driven resource for Clinical Interpretation of Variants in Cancer. The goal of CIViC is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations. The knowledgebase leverages public curation and expert moderation to create a free resource that compiles, annotates, and distributes published cancer variant knowledge to the community. Identifying and cataloging curated clinical variant knowledge in the peer-reviewed published literature for rapid searching, evaluation, dissemination, and integration into other resources enables clinical cancer variant analysis. The database can be accessed without restrictions through a user-friendly interface, via a flexible public API, or the CIViCpy Software Development Kit. All data is available without login, but curation and other functions such as commenting, flagging, and suggesting changes requires users to create a free CIViC account. The history of all curation and revision in CIViC is viewable on the web interface. Selected, expert editors review and revise submitted content, which is labeled as accepted after complete moderation. All content in CIViC adheres to a structured data model, which incorporates ontologies, standards and guidelines from across the field to promote interoperability and compatibility with other efforts. CIViC currently has a community of over 190 curators and 16,000 clinical and research users around the world.
The ITCR Program is a trans-NCI program supporting investigator-initiated, research-driven informatics technology development spanning all aspects of cancer research. The ITCR Program funds tools that support the analysis of -omics, imaging, and clinical data, as well as network biology and data standards. All of the tools are free for use by academic and non-profit researchers. Access to tools, code repositories, and introductory videos are available on the website https://itcr.cancergov/
For any questions please contact Daoud Meerzaman or Juli Klemm