The course covers the computerized analysis of genetic information from biological perspective. The students will be introduced to the principals and practices used in computational analysis of DNA and protein sequence, 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.