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CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:5bc4d12f-3fca-4b4d-a1c4-3cfff64357c6@nexttoyou
DTSTAMP:20261106T171524Z
DTSTART:20261118T170000Z
DTEND:20261118T210000Z
SUMMARY:Automated & Reproducible Workflows with Snakemake
LOCATION:Effie Mona Mack (EMM) 100
DESCRIPTION:Prerequisites\n\nComfortable working in UNIX\, or the Beginner
  and Intermediate UNIX workshops (Nov 2 and 4)Basic understanding of Dock
 er or the Docker workshop (Nov 9)Familiarity with Python is helpful for S
 nakemake syntax but not requiredLaptop running macOS\, Linux\, or Windows
  (tablets and Chromebooks won’t work)This hands-on workshop introduces Sn
 akemake\, a workflow management system for building automated\,\nreproduc
 ible\, and scalable data analysis pipelines. Learn how to organize comple
 x analyses\, manage software dependencies\, and efficiently run multi-ste
 p workflows. Using a bioinformatics workflow as an example\, you’ll devel
 op pipelines that simplify complex analyses and improve reproducibility.\
 n\nWhat you'll learn\n\nUnderstand the principles of workflow automation 
 and reproducible computational researchBuild rule-based workflows with Sn
 akemake\, including wildcards\, inputs\, outputs\, and dependenciesAutoma
 te multi-step analyses and manage parallel executionManage software depen
 dencies with Conda environments and containersIntegrate Docker containers
  into Snakemake workflows for portable\, reproducible pipelinesMonitor wo
 rkflow execution\, troubleshoot errors\, and rerun failed or incomplete s
 teps\n\nhttp://next-to-u.app/events/5bc4d12f-3fca-4b4d-a1c4-3cfff64357c6
URL:http://next-to-u.app/events/5bc4d12f-3fca-4b4d-a1c4-3cfff64357c6
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