The course covers the computerized analysis of genetic information from a biological perspective. The students will be introduced to the principles and practices used in computational analysis of DNA and protein sequences, large-scale DNA and protein datasets, statistical analysis of sequence alignments and microarray, molecular docking, molecular simulations, network pharmacology, proteomics, and next-generation sequencing datasets. Lectures will focus on assumptions, limitations, and strategies of bioinformatics algorithms and statistics. Laboratory time uses computers to address biological questions. The laboratory component will be taught in the computer lab and will feature a mix of didactic and hands-on instruction, including assignments with use of appropriate computer language. Laboratory. Prerequisites: MT131, BI346 or BI434