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Create alphafold 2.2.3 cpu/NVIDIA GPU container.yaml #178
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SarahBeecroft
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docker: quay.io/sarahbeecroft9/alphafold | ||
url: https://quay.io/sarahbeecroft9/alphafold | ||
maintainer: '@sarahbeecroft' | ||
description: AlphaFold is an artificial intelligence (AI) program developed by Alphabet's/Google's DeepMind which performs predictions of protein structure. This module runs on CPU and NVIDIA GPU only. | ||
latest: | ||
'2.2.3': sha256:cb4af40028e49dd340403b469ff667c924672c5c1ac3caa40eb4f2c680ad74a0 | ||
tags: | ||
'2.2.3': sha256:cb4af40028e49dd340403b469ff667c924672c5c1ac3caa40eb4f2c680ad74a0 | ||
aliases: | ||
- name: alphafold | ||
command: bash /app/run_alphafold.sh | ||
singularity_options: -B /scratch/references/alphafold | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Is this an option specific to your center? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Yeah, this is where the reference databases live on Setonix, so it really only works on Setonix. |
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This looks good! For the command I would be inclined to leave out bash, and target the script directly (and make sure it has the correct hashbang at the top and is executable). Let me know what you think!