Issue 23 | Office of Cancer Genomics

Issue 23 | Office of Cancer Genomics

	DATA CORNER CTD² DREAM Challenges: Develop Predictive Algorithms to Identify Effective Cancer Treatment Strategies The CTD² Network in partnership with Sage Bionetworks invites the community to participate in DREAM Challenges to develop predictive bioinformatics methods. The article provides the goals and questions to address for the CTD² Pancancer Drug Activity and CTD² BeatAML DREAM Challenges.
	FEATURED RESEARCHERS Translating Genomics in Cancer: Interview with Dr. Andrew (Andy) Mungall Dr. Andy Mungall is a genome scientist from British Columbia (BC) Cancer Genome Sciences Centre who is involved with molecular characterization of tumors for CGCI projects. In this interview, Dr. Mungall provides his background and perspectives on cancer genomics research.
	CTD² GUEST EDITORIAL Cracking the Cancer Code with Computational Approaches The Califano lab at Columbia University developed the OncoMatch, OncoTarget, and OncoTreat algorithms to identify effective cancer treatment therapies. The article provides an analogy of orchestra with the cells in our body and how the methods they developed would allow them to listen to the symphony, sound of the conductor.
	OCG PROGRAM HIGHLIGHTS OCG-supported Initiatives Provide Valuable Resources to Advance and Accelerate Precision Oncology NCI’s Office of Cancer Genomics supported initiatives aim to accelerate the translational research efforts towards precision oncology. The article describes the databases and other resources available for the community.
	HCMI PROGRAM HIGHLIGHTS HCMI Model-associated Data Available at NCI’s Genomic Data Commons HCMI’s next-generation cancer models are associated with clinical and molecular data which are stored at NCI’s Genomic Data Commons (GDC). This article explains the types of HCMI data, generated from Cancer Model Development Centers, available at the GDC and a brief guide on how to access the data.