Getting started in computational biology

2018-05-09T00:00:00Z (GMT) by Krishnan, Arjun

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