— Computational Genomics

Prerequisites & course information

Course Description: Fundamental computational and probabilistic modeling techniques underlying analytical approaches to recent problems in functional genomics and molecular biology; DNA sequencing technologies; sequencing-based genomic assays; genomics and molecular biology lab techniques; gene expression quantification; nucleic acid structure; statistical inference and parameter estimation; resampling methods; simulations of genomic big data sets. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE).