Title: Abstract: I will present modeling and algorithmic designs for two challenging problems in biology and argue that efficient computational methods enable significant advances in our understanding of cell machinery and genome evolution. The first problem is the assembly of full-length transcripts -- the collection of expressed gene products in cells -- from noisy and highly...
Dr. Mingfu Shao, Department of Computational Biology, Carnegie Mellon University
Date
Monday February 26, 2018
Location
Soda Hall
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