https://github.com/bioinfotongli/workflow-segmentation
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.6%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: BioinfoTongLI
- Language: Python
- Default Branch: master
- Size: 112 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 4 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
README.md
Prerequisites
Make sure nextflow, conda and singularity are in the PATH.
Quick start (lsf)
git pullthis repo- Go to interactive session (you will need access to imaging queue): bsub -q imaging -n1 -M6000 -R"select[mem>6000] rusage[mem=6000]" -Is $SHELL
- Run
bash [path-to-this-repo]/lsf_run [path-to-yaml-config], in a folder where you havewritepermission
Owner
- Name: Tong LI
- Login: BioinfoTongLI
- Kind: user
- Location: Hinxton
- Company: Wellcome Sanger Institute
- Repositories: 4
- Profile: https://github.com/BioinfoTongLI
GitHub Events
Total
Last Year
Dependencies
containers/Dockerfile
docker
- nvidia/cuda 11.2.0-cudnn8-runtime-ubuntu20.04 build