Algorithms for Computational Biology
MIT OpenCourseWare offers this undergraduate course on algorithmic approaches to biological data. Lessons cover biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangement, evolutionary theory, clustering algorithms, and scale-free networks. The course pairs algorithm design principles with their application to real genomic datasets, so students see not just how an algorithm works but why it suits a particular biological problem. Materials follow the standard MIT OCW format of lecture notes, readings, and assignments drawn from the original MIT curriculum. No enrollment or certificate is offered since this is an open courseware archive rather than an instructor-led session, but all course materials are free to access and use. The course fits students with a computer science background looking to apply algorithmic thinking to molecular biology and genomics.