Computer Science 334 - SEM:TOPIC IN COMPUTATIONAL BIO

Topics course. Computational biology is a rapidly emerging multidisciplinary field that uses techniques from computer science, applied mathematics and statistics to address problems inspired by biology. This seminar exposes students to a variety of topics of current interest in molecular computing and bioinformatics. : Next Generation Sequencing (NGS) data is a term used to describe the genomic data we get out of high throughput sequencing machines. These tens or hundreds of millions of relatively short strings per biological sample need a lot of steps of analysis to give us any meaningful knowledge. This course will introduce the students to the nature and format of next generation sequencing data, the available software tools to analyse this data, and databases and resources that are used in such analysis. Students will learn how to build pipelines to combine these tools on Linux (no Linux background required) and will be introduced to some of the bioinformatics problems that can be answered using such analysis.

Instructor Permission. Not open to first-years, sophomores