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BEGIN:VEVENT
DTSTAMP:20260808T230118Z
UID:182fdfc1-e908-4e8d-9ce9-baa3ac2ea6a7
DTSTART:20250127T080000Z
DTEND:20250131T160000Z
DESCRIPTION:Educators:\nRenato Alves\, Lisanna Paladin\, Christian Schudoma
  (HD-HuB)  \n\nDate:\n27/01/2025 - 31/01/2025\n\nLocation:\nEMBL Heidelber
 g and Virtual (Hybrid)\n\nContents:\nComputation is an integral part of to
 day’s research as data has grown too large or too complex to be analysed
  by hand. An ever-growing fraction of science is performed computationally
  but many scientists struggle with this aspect of research as they have no
 t been properly trained in the necessary set of skills. The result is that
  too much time is spent doing steps manually or using inefficient tools wh
 en progress could be faster. This course provides training in several key 
 tools\, with a focus on good development practices that encourage efficien
 t and reproducible research computing.\n\nIntroduction to the Unix shell\n
 Version control and history tracking with Git\nIntroduction to scripting a
 nd basics of data analysis with Python\nMulti-step analysis and pipeline m
 anagement with Nextflow\nBest practices for reproducible analysis in high 
 performance computing environments\n\nLearning goals:\nAfter the workshop\
 , participants will be able to: \n\ninteract with a command-line shell for
  local and remote computing needs \nwrite and organise their own scripts f
 or data analysis \nuse version control to keep track of\, and revert chang
 es to their files \nimplement efficient and reproducible pipelines that co
 mbine multiple tools and scripts \nexecute and troubleshoot command line t
 ools and pipelines on a high performance computing cluster\n\nPrerequisiti
 es:\nThis course is aimed at researchers in the life sciences who wish to 
 use or design analysis pipelines on individual or clusters of computers. T
 he target learner is familiar with some command line/programmatic computer
  usage\, and wants to become more confident using these tools efficiently 
 and reproducibly.\n\nIf you have written a for-loop in some language befor
 e\, but do not know what Git or Nextflow is (or at least are not very comf
 ortable using them)\, you may be the perfect fit for this workshop.\n\nKey
 words:\nSoftware Carpentry\, Git Python\, Nextflow\n\nTools:\nGit\, Python
 \, Nextflow
LOCATION:EMBL Heidelberg\, 1 Meyerhofstraße
SUMMARY:Software Carpentry Workshop 2025
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1688-software-carp
 entry-workshop-2025
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