| Name | gpsea JSON |
| Version |
0.9.11
JSON |
| download |
| home_page | None |
| Summary | Discover genotype-phenotype correlations with GA4GH phenopackets |
| upload_time | 2025-08-04 11:23:08 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License
Copyright (c) 2025, Lauren Rekerle, Daniel Danis, Peter N Robinson
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
global alliance for genomics and health
ga4gh phenopacket schema
human phenotype ontology
ga4gh
genotype-phenotype correlation
hpo
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://github.com/P2GX/gpsea/actions/workflows/python_ci.yml)
[](https://github.com/P2GX/gpsea/releases)
GPSEA (Genotypes and Phenotypes - Statistical Evaluation of Associations) is a Python package for finding genotype-phenotype associations.
See our documentation for the [setup](https://p2gx.github.io/gpsea/stable/setup.html) instructions,
a [tutorial](https://p2gx.github.io/gpsea/stable/tutorial.html) with an end-to-end genotype-phenotype association analysis,
and a comprehensive [user guide](https://p2gx.github.io/gpsea/stable/user-guide/index.html) with everything else.
The documentation comes in two flavors:
- [Stable documentation](https://p2gx.github.io/gpsea/stable/) (last release on `main` branch)
- [Latest documentation](https://p2gx.github.io/gpsea/latest) (bleeding edge, latest commit on `develop` branch)
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