Together with a list of scientists, I have recently written an article entitled “Building a local community of practice in scientific programming for Life Scientists”. This manuscript is under review for PLoS Biology at the time and already available on bioXriv here.

I have been training myself in bioinformatics and data analysis for some time now here at the Swammerdam Institute for Life Sciences (University of Amsterdam). During this personal and scientific journey, I was grateful to rely on several scientists knowledgeable in Python, pipeline management systems (Snakemake) or Machine Learning tools (Random Forest). Yet, I had the feeling that a more stable resourceful community needed to be built

First start

Additional resources

A list of material and other resources to build your Study Group and your own community of practice.

The Mozilla Science Lab

The Mozilla Study Group initiative

Nice papers

Budd A, Corpas M, Brazas MD, Fuller JC, Goecks J, Mulder NJ, et al. (2015) A Quick Guide for Building a Successful Bioinformatics Community. PLoS Comput Biol11(2): e1003972. Link