SeroTools
SeroTools: a Python package for Salmonella serotype data analysis - Published in JOSS (2020)
Science Score: 93.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
○Committers with academic emails
-
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Repository
A toolkit and repository for the White-Kauffmann-Le Minor scheme for Salmonella serotyping.
Basic Info
Statistics
- Stars: 2
- Watchers: 6
- Forks: 1
- Open Issues: 1
- Releases: 4
Metadata Files
README.rst
===============================
SeroTools
===============================
.. Image showing the PyPI version badge - links to PyPI
.. image:: https://img.shields.io/pypi/v/serotools.svg
:target: https://pypi.python.org/pypi/serotools
.. Image showing the Travis Continuous Integration test status, commented out for now
.. .. image:: https://img.shields.io/travis/CFSAN-Biostatistics/serotools.svg
.. :target: https://travis-ci.org/CFSAN-Biostatistics/serotools
.. Image showing the JOSS paper badge
.. image:: https://joss.theoj.org/papers/10.21105/joss.02556/status.svg
:target: https://doi.org/10.21105/joss.02556
This package serves as a toolkit and repository for the White-Kauffmann-Le Minor scheme for *Salmonella* serotyping, which is made available in multiple formats, along with methods for querying and comparing serovar names and antigenic formulae, as well as determining the most abundant serovar for a cluster of isolates.
SeroTools was developed by the United States Food and Drug Administration, Center for Food
Safety and Applied Nutrition.
* Free software
* Documentation: https://serotools.readthedocs.io
* Source Code: https://github.com/CFSAN-Biostatistics/serotools
* PyPI Distribution: https://pypi.python.org/pypi/serotools
Introduction
------------
*Salmonella* bacteria are major foodborne pathogens estimated by the U.S. Centers for Disease Control and Prevention to cause 1.35 million infections annually in the United States [1]_. Serological subtyping (serotyping) of *Salmonella* has historically been a critical component of characterization and successful outbreak identification and traceback efforts employed by public health researchers and regulatory agencies. The White-Kauffmann-Le Minor (WKL) *Salmonella* serotyping scheme specifies the commonly accepted naming and formatting conventions for *Salmonella* serotyping data and the antigenic factors (and other characteristics) which define each serovar. *Salmonella* serotyping data is routinely employed by a broad range of scientific researchers, physicians, public health professionals, food safety experts, etc.
SeroTools addresses multiple critical needs for the efficient analysis of *Salmonella* serotyping data. As technological advances continue to produce a range of high resolution subtyping options, including *in silico* serovar prediction based on whole genome sequencing, new tools are necessary for efficient method-comparison studies and quality control applied to increasingly large numbers of isolates. SeroTools serves as the only multiformat WKL repository accessible for software development and provides the only existing tools for querying the WKL scheme, comparing serovars for congruence, and predicting the most abundant serovar for clusters of isolates.
.. [1] The U.S. Centers for Disease Control and Prevention. .
Features
--------
* Query the White-Kauffmann-Le Minor *Salmonella* serotyping repository
* Compare serovar predictions for state of congruence
* Determine the most abundant serovar for a cluster of isolates
Citing SeroTools
--------------------------------------
If you use SeroTools, please cite the following publication:
Baugher, J. D., (2020). SeroTools: a Python package for Salmonella serotype data analysis. Journal of Open Source Software, 5(53), 2556, https://doi.org/10.21105/joss.02556.
License
-------
See the LICENSE file included in the SeroTools distribution.
Owner
- Name: CFSAN (Center for Food Safety and Applied Nutrition)
- Login: CFSAN-Biostatistics
- Kind: organization
- Website: https://www.fda.gov/about-fda/fda-organization/center-food-safety-and-applied-nutrition-cfsan
- Repositories: 18
- Profile: https://github.com/CFSAN-Biostatistics
JOSS Publication
SeroTools: a Python package for Salmonella serotype data analysis
Authors
Tags
Salmonella serotype serovar White-Kauffmann-Le Minor bioinformaticsGitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Joseph Baugher | j****r | 73 |
| Joseph D. Baugher, Ph.D | j****r@f****v | 8 |
| Baugher | j****r@C****v | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: 9 days
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 3.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- amoeba (1)
Pull Request Authors
- dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 8 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
pypi.org: serotools
This package serves as a toolkit and repository for the White-Kauffmann-Le Minor scheme for Salmonella serotyping, which defines nomenclature and antigenic factors for each recognized serovar. The scheme is made available in multiple formats, along with methods for querying and comparing serovar names and antigenic formulae, as well as determining the most abundant serovar for a cluster of isolates.
- Homepage: https://github.com/CFSAN-Biostatistics/serotools
- Documentation: https://serotools.readthedocs.io/
- License: BSD
-
Latest release: 0.2.1
published over 5 years ago
Rankings
Maintainers (1)
Dependencies
- wheel ==0.23.0
