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Integrating Diverse Data for Improved Computational Genomics

Thursday, March 30, 2017 - 3:40pm

Scott EmrichGenomics-driven analysis of many important species, which we have called “non-models”, remains challenging. My group is funded by the NIH to computationally leverage newer higher-throughput sequencing and domain expert-provided metadata (biological traits like drug resistance, protein folding, community-sourced data) to tackle problems mostly related to arthropod-borne diseases (e.g., malaria).