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DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Registration is required\, visit RSVP link above for more even
 t information. Bridge the "it works on my machine" gap with portable\, HP
 C-ready research environments. In biomedical research\, computational rep
 roducibility is often hindered by complex software dependencies and restr
 ictive high-performance computing (HPC) environments. While Docker is the
  industry standard for containerization\, Apptainer (formerly Singularity
 ) is the gold standard for secure\, multi-user research clusters. This 2-
 hour\, hands-on workshop demystifies containerization for the life scienc
 es. We will move from basic concepts to building a custom\, lightweight L
 inux container specifically for biomedical data science. Using a real-wor
 ld diabetes analysis pipeline\, you will learn how to "freeze" your entir
 e computational environment into a single\, portable file that can be sha
 red with collaborators or moved from your laptop to a supercomputer witho
 ut installation errors. What you will build: A reproducible analysis pipe
 line that binds local data into a custom-built container image to produce
  validated research outputs. Learning objectives: By the end of this work
 shop\, participants will be able to: Explain the core differences between
  containers and virtual machines\, and why Apptainer is preferred over Do
 cker in secure HPC environments. Execute fundamental Apptainer CLI comman
 ds to pull remote images\, explore containers interactively\, and run non
 -interactive commands. Construct an Apptainer Definition File (.def) to b
 uild a custom Linux environment containing specific biomedical libraries 
 (e.g.\, pandas\, matplotlib). Analyze a biomedical dataset by binding loc
 al data into a containerized pipeline and extracting reproducible\, visua
 lized results. Evaluate a research workflow’s reproducibility based on en
 vironment documentation\, image portability\, and data provenance.\n\nSpe
 aker:\nJustin DeMayo\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicin
 e.yale.edu/event/introduction-to-apptainer-for-reproducible-analysis-and-
 portable-pipelines-10-12/\n
DTEND;TZID=America/New_York:20261012T160000
DTSTAMP:20260927T130733Z
DTSTART;TZID=America/New_York:20261012T140000
GEO:41.303333;-72.933741
LOCATION:Harvey Cushing/John Hay Whitney Medical Library \, 111\, 333 Ceda
 r Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Introduction to Apptainer for Reproducible Analysis and Portable P
 ipelines
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