workflow-registration
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○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: 7 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: BioinfoTongLI
- Language: Jupyter Notebook
- Default Branch: main
- Size: 2.06 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 3 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Citation
README.md
Prerequisites
Make sure nextflow, conda and singularity (or docker) 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 lsf.sh [path-to-yaml-config], in a folder where you have write permission
Owner
- Name: Tong LI
- Login: BioinfoTongLI
- Kind: user
- Location: Hinxton
- Company: Wellcome Sanger Institute
- Repositories: 4
- Profile: https://github.com/BioinfoTongLI
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this pipeline, please cite it" authors: family-names: "LI" given-names: "Tong" orcid: "https://orcid.org/0000-0002-8240-4476" title: "A nextflow pipeline wrapping several registration tools" version: 0.0.1 date-released: 2022-05-08 license: Apache-2.0 url: "https://github.com/BayraktarLab"