Docs and links
Required course reading
- Book: Haddock and Dunn, "Practical computing for Biologists"
- Paper: William Stafford Noble, "A quick guide to organising computational biology projects", PLoS Comp Biol, 2009.
Additional course documents
- Ten Simple Rules for the Open Development of Scientific Software (Prlić & Procter, PLoS Comp Biol, 2012)
- Ten Simple Rules for Reproducible Computational Research (Sandve et al., PLoS Comp Bio, 2013).
- So you want to be a computational biologist? (Loman and Watson, Nature Biotech, 2013)
- Best Practices for Scientific Computing (Wilson et al, PLoS Biology, 2014)
For the curious
Here are links if you want to learn more.
- Using named pipes and process substitution in Bioinformatics
- Minimum standards for bioinformatics command line tools by Torsten Seemann.
- Now also published in the journal GigScience!
- SQLite - Working with large data sets in Python effectively by Sebastian Raschka