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TZID:America/New_York
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DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Bridge the "it works on my machine" gap with portable\, HPC-re
 ady research environments. In biomedical research\, computational reprodu
 cibility is often hindered by complex software dependencies and restricti
 ve high-performance computing (HPC) environments. While Docker is the ind
 ustry 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 sciences. 
 We will move from basic concepts to building a custom\, lightweight Linux
  container specifically for biomedical data science. Using a real-world d
 iabetes analysis pipeline\, you will learn how to "freeze" your entire co
 mputational environment into a single\, portable file that can be shared 
 with collaborators or moved from your laptop to a supercomputer without i
 nstallation errors. What you will build: A reproducible analysis pipeline
  that binds local data into a custom-built container image to produce val
 idated research outputs. Learning objectives: By the end of this workshop
 \, participants will be able to: Explain the core differences between con
 tainers and virtual machines\, and why Apptainer is preferred over Docker
  in secure HPC environments. Execute fundamental Apptainer CLI commands t
 o pull remote images\, explore containers interactively\, and run non-int
 eractive commands. Construct an Apptainer Definition File (.def) to build
  a custom Linux environment containing specific biomedical libraries (e.g
 .\, pandas\, matplotlib). Analyze a biomedical dataset by binding local d
 ata into a containerized pipeline and extracting reproducible\, visualize
 d results. Evaluate a research workflow’s reproducibility based on enviro
 nment documentation\, image portability\, and data provenance.\n\nAdmissi
 on:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/introduction-t
 o-apptainer-for-reproducible-analysis-and-portable-pipelines/\n
DTEND;TZID=America/New_York:20260825T150000
DTSTAMP:20260818T054150Z
DTSTART;TZID=America/New_York:20260825T130000
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Introduction to Apptainer for Reproducible Analysis and Portable P
 ipelines
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