Quantitative Genomics
This MIT OpenCourseWare course builds a working foundation in the mathematics and computation behind modern genomics. The material is organized into four blocks: evolutionary and population genetics, where you work through models of allele frequency change and phylogenetic reconstruction; comparative genomics, covering sequence alignment and genome-wide comparison across species; structural genomics and proteomics, addressing protein structure prediction and large-scale structural data; and functional genomics and regulation, which looks at gene expression, regulatory networks, and the statistical tools used to analyze them. Lecture notes and problem sets from MIT's Health Sciences and Technology program carry the quantitative content, emphasizing the algorithms and statistical models researchers actually use to interpret genomic data rather than just the biology. It suits students who already have some background in biology and want the mathematical and computational machinery underneath it. Materials are free to access online, following MIT OCW's usual open format with no enrollment or certificate attached.