Docs and links

CRequired 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