University of Cambridge > > Genetics Seminar  > Reproducible, transparent, and adaptable data analysis with Snakemake

Reproducible, transparent, and adaptable data analysis with Snakemake

Add to your list(s) Download to your calendar using vCal

  • UserDr Johannes K√∂ster, Institute of Human Genetics, University of Duisburg-Essen
  • ClockThursday 25 November 2021, 13:30-14:30
  • HouseZoom meeting.

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

Host: Elves Duarte

Data analyses, in particular in bioinformatics, usually entail the application of many command line tools or scripts 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 1,000 citations and over 300,000 downloads, Snakemake is one of the most popular workflow management systems. The talk will present how Snakemake can be used to easily ensure above properties while minimizing boilerplate code and maximizing human readability.

This talk is part of the Genetics Seminar series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2021, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity