University of Cambridge > > Genetics Seminar  > Transparency, reproducibility, and adaptability in data analysis.

Transparency, reproducibility, and adaptability in data analysis.

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  • UserDr Johannes K√∂ster, Institute of Human Genetics, University of Duisburg-Essen
  • ClockThursday 03 February 2022, 13:30-14:30
  • HouseZoom meeting.

If you have a question about this talk, please contact Caroline Newnham.

Host: Elves Duarte

Data analyses usually entail the application of a combination of command line tools, scripts and notebooks to transform, filter, aggregate or plot data and results. In order to ensure sustained value for data analysis authors and the scientific community, an analysis has to be reproducible (for checking its technical validity), transparent (for checking its methodological validity), and adaptable (to enable future reuse). With over 1,200 citations and over 300,000 downloads, Snakemake is one of the most popular workflow management systems. This talk will present how Snakemake can be used to easily ensure above properties while minimizing boilerplate code, maximizing human readability, and ensuring efficient execution on any major computing platform.

This talk is part of the Genetics Seminar series.

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