Getting started in computational biology

These are slides based on a lecture I gave in the course CMSE 491: Bioinformatics and Computational Biology taught in Spring 2018 at Michigan State University on Monday, January 2. This presentation covers the following topics and is meant to be a "getting started" guide to computational biology research.

1. Reading papers | Learning to frame a problem
2. Choosing a good problem
3. Data types and repositories
4. Programming languages & software ecosystems
5. Organizing a computational biology project
6. Managing data and code
7. High-performance computing at MSU
8. Getting help