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Published May 9, 2018 | Version v1
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Getting started in computational biology

Authors/Creators

  • 1. Michigan State University

Description

These are slides from Lecture 2 of the course CMSE 491: Bioinformatics and Computational Biology taught in Spring 2018 at Michigan State University on Monday, January 2. This lecture covers the following topics and is meant to provide 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

Files

Getting-Started-in-Computational-Biology.pdf

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