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SUMMARY:Transparency\, reproducibility\, and adaptability in data analysis
 . - Dr Johannes Köster\, Institute of Human Genetics\, University of Duis
 burg-Essen
DTSTART:20220203T133000Z
DTEND:20220203T143000Z
UID:TALK161107@talks.cam.ac.uk
CONTACT:Caroline Newnham
DESCRIPTION:Data analyses usually entail the application of a combination 
 of command line tools\, scripts and notebooks to transform\, filter\, aggr
 egate or plot data and results. In order to ensure sustained value for dat
 a analysis authors and the scientific community\, an analysis has to be re
 producible (for checking its technical validity)\, transparent (for checki
 ng its methodological validity)\, and adaptable (to enable future reuse). 
 \nWith over 1\,200 citations and over 300\,000 downloads\, Snakemake is on
 e of the most popular workflow management systems.\nThis talk will present
  how Snakemake can be used to easily ensure above properties while minimiz
 ing boilerplate code\, maximizing human readability\, and ensuring efficie
 nt execution on any major computing platform.
LOCATION:Zoom meeting
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