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DTSTAMP:20260407T193910Z
UID:60523e63-c93f-42c1-afa1-ce052f446fd0
DTSTART:20260525T090000Z
DTEND:20260527T170000Z
DESCRIPTION:As data analysis projects grow and change over time\, it gets i
 ncreasingly difficult to keep track of how the different parts of the data
  analysis fit together. Workflow management systems such as [Snakemake](ht
 tps://snakemake.readthedocs.io/en/stable/) can be used to set up\, perform
  and monitor defined sequences of computational tasks (“workflows”)\, 
 thereby making data analyses reproducible and scalable. Snakemake was deve
 loped in the bioinformatics community and has some features that make it p
 articularly well suited for bioinformatics workflows. \n\nThe [NBIS Tools 
 for reproducible research course](https://nbisweden.github.io/workshop-rep
 roducible-research/) is held twice a year and provides an introduction int
 o [Snakemake](https://snakemake.readthedocs.io/en/stable/) and a tutorial 
 to learn how to use Snakemake. \n\nThis Snakemake BYOC (bring-your-own-cod
 e) workshop provides a follow-up to that introduction. Here\, participants
  will get support from experienced bioinformaticians to A) convert their d
 ata analysis from a programming language such as bash\, R or python into a
  Snakemake workflow\, or B) apply more advanced techniques to their existi
 ng Snakemake workflows.
SUMMARY:Snakemake BYOC (bring-your-own-code) workshop
URL;VALUE=URI:https://uppsala.instructure.com/courses/118016
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