Computational Personal Genomics: Making Sense of Complete Genomes
MIT OpenCourseWare offers this advanced course on interpreting personal genome sequences computationally. It covers how differences in DNA sequence between individuals translate into differences in gene expression, disease susceptibility, and drug response. Topics include genotyping technologies, sequence variant calling, functional annotation, and statistical methods for linking genotype to phenotype. Materials include lecture notes, readings, and problem sets drawn from current research in genomics and bioinformatics, reflecting MIT's Electrical Engineering and Computer Science curriculum. The course is aimed at students with a background in computational methods who want to understand the analytical pipeline behind personal genomics, from raw sequence data to biological interpretation. As with other MIT OpenCourseWare offerings, all course materials are free to access and use under a Creative Commons license, with no certificate offered.