Description

Bioinformatics is becoming essential in the genomic era. Witnessing both the power and the complexity of bioinformatics, bench scientists, despite providing most of the biological insights, often feel left out as simply data generators, and frustrated when collaborating with data analyzers. This course, taught by bench scientists who have published on specific bioinformatics topics, aims to empower bench scientists with valid statistical and computational methods to be able to explore data and communicate with computational scientists. It is pragmatic because it covers as-needed theoretical background and teaches usable, instead of efficient, programming in the format of a dry-lab protocol that generates publication-quality figures. It consists of 9 modules covering basic coding, principles, RNA, DNA, protein, images, network analysis, and freeware. Each module consists of two 2-hour sessions on Mondays and Wednesdays. Grades are based on homework.