MIT Computational Biology - Genomes, Networks, Evolution, Health - Fall 2018
Dive into a comprehensive lecture series on computational biology from MIT's Fall 2018 semester, covering a wide range of topics including genomes, networks, evolution, and health. Explore dynamic programming, database search, hidden Markov models, gene expression analysis, RNA biology, epigenomics, 3D genome structure, regulatory genomics, network analysis, deep learning, population genomics, genome-wide association studies, eQTLs, heritability, comparative genomics, genome assembly, phylogenetics, single-cell genomics, cancer genomics, multi-phenotype analyses, and genome engineering. Gain insights from expert instructors over the course of 24 lectures, totaling more than 31 hours of in-depth content. Note that a more recent version from Fall 2019 is also available for those seeking the most up-to-date information in this rapidly evolving field.