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DTSTAMP:20260618T080515Z
UID:51f7cd0c-0a17-4f26-86a0-e7a1470d483f
DTSTART:20250324T090000Z
DTEND:20250327T170000Z
DESCRIPTION:Snakemake is a popular open-source tool to create reproducible 
 and scalable data analyses. Workflows are described via a Python-based lan
 guage that defines steps in the workflow as rules\, and these are then use
 d by Snakemake to construct and execute a work plan to yield the desired o
 utput. Re-calculation of existing results is avoided where possible\, so y
 ou can add or update input data\, then efficiently generate an updated res
 ult. Workflows can be seamlessly scaled to server\, cluster\, grid and clo
 ud environments without the need to modify the workflow definition. A key 
 appeal of workflow systems like Snakemake is that our workflows can be re-
 used\, published and re-mixed as open-source code. We look at WorkflowHub.
 eu and other on-line resources for workflow sharing\, and how we can best 
 prepare our own workflows to be most effectively re-usable. Attendees must
  have a working knowledge of how to use the Linux BASH command line – ou
 r 1-day “Linux for bioinformatics” course is a suitable background.
SUMMARY:Snakemake
URL;VALUE=URI:https://genomics.ed.ac.uk/event/snakemake-2/
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