epitopepredict
Python package and command line tool for epitope prediction
Science Score: 26.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Keywords
Repository
Python package and command line tool for epitope prediction
Basic Info
Statistics
- Stars: 52
- Watchers: 5
- Forks: 22
- Open Issues: 5
- Releases: 5
Topics
Metadata Files
README.md

Background
epitopepredict provides a standardized programmatic interface and command line tool for executing multiple epitope prediction methods. Currently this largely consists of interfaces to several MHC binding prediction, the results of which can then be processed and visualized in a consistent manner. There is a built-in method for MHC-class I prediction and the TEPITOPEPan method is provided as a 'built in' method for MHC-class II. The IEDB tools and netMHCpan, netMHCIIpan and MHCFlurry are also supported. Those tools are free for academic use but have to be installed separately. This software runs on most linux systems.
Documentation is at http://epitopepredict.readthedocs.io
Installation
current release:
pip install epitopepredict
or for latest version on github:
pip install -e git+https://github.com/dmnfarrell/epitopepredict.git#egg=epitopepredict
Owner
- Name: Damien Farrell
- Login: dmnfarrell
- Kind: user
- Location: Dublin, Ireland
- Company: University College Dublin
- Website: http://dmnfarrell.github.io/
- Twitter: dmnfarrell
- Repositories: 26
- Profile: https://github.com/dmnfarrell
Research Fellow UCD Veterinary School ORCID ID: 0000-0003-3020-7945
GitHub Events
Total
- Issues event: 3
- Watch event: 3
- Issue comment event: 1
Last Year
- Issues event: 3
- Watch event: 3
- Issue comment event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Damien Farrell | f****n@g****m | 272 |
| dmnfarrell | f****l@b****e | 4 |
| Taeyoon Kim | p****a | 1 |
| Nokome Bentley | n****e@s****a | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 11
- Total pull requests: 3
- Average time to close issues: 21 days
- Average time to close pull requests: 6 days
- Total issue authors: 10
- Total pull request authors: 3
- Average comments per issue: 1.64
- Average comments per pull request: 0.33
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: about 2 months
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 0.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- partrita (2)
- berkedilekoglu (1)
- chumawinnie (1)
- jasonzhao0307 (1)
- ever4cyth (1)
- wt12318 (1)
- carlomazzaferro (1)
- pedromachadorodri (1)
- christelvanharen (1)
- francescopatane96 (1)
Pull Request Authors
- wt12318 (1)
- nokome (1)
- partrita (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 43 last-month
- Total docker downloads: 90
- Total dependent packages: 1
- Total dependent repositories: 4
- Total versions: 5
- Total maintainers: 1
pypi.org: epitopepredict
Python package for epitope prediction
- Homepage: https://github.com/dmnfarrell/epitopepredict
- Documentation: https://epitopepredict.readthedocs.io/
- License: GPL v3
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Latest release: 0.5.0
published almost 6 years ago
Rankings
Maintainers (1)
Dependencies
- biopython *
- bokeh *
- future *
- matplotlib *
- numpy *
- pandas *
- biopython *
- matplotlib *
- mhcflurry *
- numpy *
- pandas *
- seaborn *
- biopython >=1.78
- future *
- joblib >=0.16.0
- matplotlib *
- numpy >=1.10
- pandas >=0.22
- scikit-learn >=0.23.2