6.095 Computational Biology: Genomes, Networks, Evolution (U)

L TR 11-12:30, room 3-370
Prof. Manolis Kellis
Prereq.: 6.001; 7.012; 18.440 or 6.041
3-0-9

This subject qualifies as a Theoretical Computer Science concentration subject.

Algorithmic and machine learning foundations of computational biology, combining theory with practice. We will use real, large-scale biological datasets to study principles of algorithm design, influential techniques, and current research areas. Topics include: (1) biological sequence analysis, gene finding, motif discovery, genome assembly; (2) regulatory networks, expression analysis, scale-free networks; (3) comparative genomics, genome duplication, evolutionary theory.