BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260527T084442Z
UID:0254e3a2-21bd-40ae-996a-8529ec257446
DTSTART:20261012T090000Z
DTEND:20261016T170000Z
DESCRIPTION:Join us for an intensive\, week-long\, in-person training desig
 ned to elevate your Galaxy expertise to new heights. This workshop is tail
 ored for data scientists\, advanced Galaxy users\, and team leaders who ne
 ed to scale\, automate\, and publish their data analysis workflows for bat
 ch processing and production-level applications.\n\nOver five days\, you
 ’ll embark on a comprehensive journey through Galaxy’s advanced capabi
 lities:\n\nMonday: Introduction &amp\; Workflow Development\n\nStart with 
 a welcome and icebreaker to foster collaboration\, followed by a brief ove
 rview of Galaxy and its workflow features. Dive into hands-on workflow dev
 elopment\, where you’ll learn to design clean\, efficient workflows\, cu
 stomize them with parameters\, and generate user-friendly workflow reports
 —combining theory with practical application.\n\nTuesday: Workflow FAIRi
 fication\, Documentation\, and Export\n\nBegin with a recap of Day 1\, the
 n explore UseGalaxy.fr and its unique features. Learn to annotate workflow
 s with metadata\, apply best practices for FAIR compliance\, and implement
  tests to ensure reliability. Publish your workflows to WorkflowHub and Do
 ckstore via the IWC. Develop high-resolution workflow visualizations and c
 reate interactive tutorials using a “Choose Your Own Tutorial” approac
 h. Finally\, master workflow export by creating RO-Crates for reproducibil
 ity and submitting workflows to LifeMonitor for performance tracking.\n\nW
 ednesday: Scaling Workflows &amp\; Galaxy Using Command-Line and API\n\nSt
 art with a recap and real-world examples of large-scale Galaxy projects. L
 earn to execute workflows from the command line using Planemo\, automate b
 atch processing with shell scripts\, and analyze performance for efficienc
 y. Discover how to scale Galaxy use with BioBlend\, designing Python scrip
 ts for batch workflow execution and evaluating scalability. The day conclu
 des with an introduction to the “Bring Your Own Work” session.\n\nThur
 sday: Bring Your Own Work (BYOW)\n\nDedicate the day to applying your new 
 skills to your own projects. With guidance from trainers\, refine your wor
 kflows\, troubleshoot challenges\, and implement solutions using your pers
 onal data. Collaborate with peers\, document your progress\, and optimize 
 your workflows to leave with actionable results for your research.\n\nFrid
 ay: Storage\, Data Management\, Recap\, and Closing\n\nThe final half-day 
 begins with a recap of the week’s progress\, followed by a session on 
 “Bring Your Own Storage”\, exploring how to integrate personal or inst
 itutional storage with Galaxy. Learn about managing databases in Galaxy an
 d the IDC (Intergalactic Data Commission) effort for efficient data organi
 zation. The workshop concludes with a general recap\, supplementary exerci
 ses\, and feedback and closing remarks\, ensuring you leave with a compreh
 ensive understanding and resources for continued success.\n\nThis training
  will be conducted in French\, while the materials (slides) will be in Eng
 lish.\n\nRequirements\n\nPrior knowledge and experience using Galaxy\nPrio
 r knowledge and experience using command line\nFluent in French (materials
  will be in English and discussions will happen in French)\nYour own compu
 ter\nOptional but encouraged: your own workflow and dataset for the Bring 
 Your Own Work (BYOW) session. The workflow and the dataset must be shareab
 le and non-sensitive (i.e.\, they must not contain any patient-related inf
 ormation or confidential data). The dataset size must be small.
LOCATION:Institut Pasteur\, 25-28 Rue du Dr Roux
SUMMARY:Galaxy Beyond Basics: Mastering Workflows\, Automation\, and Scalab
 ility 2026
URL;VALUE=URI:https://training.galaxyproject.org/training-material/events/2
 026-10-12-Advanced-Galaxy-Training.html#overview
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