Pictographic representation of the challenges in computational biology. (Figure by MIT OpenCourseWare. Courtesy of Prof. Manolis Kellis.)
Instructor(s)
Prof. Manolis Kellis
MIT Course Number
6.096
As Taught In
Spring 2005
Level
Undergraduate
Course Description
Course Features
- Selected lecture notes
- Assignments: problem sets (no solutions)
- Assignments: programming (no examples)
Course Highlights
This course features a complete set of homework assignments.
Course Description
This course is offered to undergraduates and addresses several algorithmic challenges in computational biology. The principles of algorithmic design for biological datasets are studied and existing algorithms analyzed for application to real datasets. Topics covered include: biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangements, evolutionary theory, clustering algorithms, and scale-free networks.