This is an archived course. A more recent version may be available at ocw.mit.edu.
Prof. Manolis Kellis
Prof. James Galagan
6.047 / 6.878
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include:
OCW has published multiple versions of this subject.
Manolis Kellis, and James Galagan. 6.047 Computational Biology: Genomes, Networks, Evolution. Fall 2008. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.