Algorithms for Computational Biology
Free, no sign-up neededJanuary IAP 2011English
About this course
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.
Description from MIT OpenCourseWare.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · January IAP 2011
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2005