Dr. Sean Eddy, Professor, Molecular and Cellular Biology, Harvard University Abstract: Computational recognition of distant sequence homology is a key to studying ancient events in molecular evolution. The better our sequence analysis methods are, the deeper in evolutionary time we can see. A major aim in the field is to improve the resolution of homology […]

Galen Xing, Research Assistant, UC Berkeley

Dr. William Noble, Professor, Department of Genome Sciences, University of Washington Abstract: In this talk, I will describe several recent efforts in my lab to help facilitate the analysis of large, single-cell genomics datasets. First is an unsupervised learning method that aims to find shared manifold structure in so-called "multi-omics" datasets, where different aliquots of […]