https://github.com/pgxcentre/genetest
Python package for efficient genetic association analyses
https://github.com/pgxcentre/genetest
bioinformatics genetics genomics gwas phewas regression-models statistics
Last synced: 5 months ago
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Python package for efficient genetic association analyses
- Host: GitHub
- URL: https://github.com/pgxcentre/genetest
- Owner: pgxcentre
- License: other
- Created: 2016-04-14T17:04:22.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2021-10-21T19:46:46.000Z (over 4 years ago)
- Last Synced: 2025-09-08T13:34:33.722Z (10 months ago)
- Topics: bioinformatics, genetics, genomics, gwas, phewas, regression-models, statistics
- Language: Python
- Homepage:
- Size: 6.3 MB
- Stars: 3
- Watchers: 4
- Forks: 2
- Open Issues: 9
-
Metadata Files:
- Readme: README.mkd
- License: LICENSE.txt
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# genetest - A Python module for statistical genetics
The `genetest` module includes a script that will perform various statistical
analysis on genetics data (*e.g.* hard calls, imputed data, etc.).
## Dependencies
The tool requires a standard [Python](http://python.org/) installation (3.4 or
higher are supported) with the following modules:
1. [numpy](http://www.numpy.org/) version 1.12 or latest
2. [pandas](http://pandas.pydata.org/) version 0.19 or latest
3. [stasmodels](http://statsmodels.sourceforge.net/stable/index.html) version 0.8 or latest
4. [grako](https://github.com/swayf/grako) version 3.10 or latest
5. [geneparse](https://github.com/pgxcentre/geneparse) version 0.1 or latest
The tool has been tested on *Linux* only, but should work on *MacOS* operating
systems as well.
## Documentation
Documentation is available at http://pgxcentre.github.io/genetest/.
## Installation
Using `pip`:
```bash
pip install genetest
```
### Updating
To update the module using `pip`:
```bash
pip install -U genetest
```
## Testing
To test the module, just perform the following command:
```console
$ python -m genetest.tests
...
----------------------------------------------------------------------
Ran 104 tests in 1.684s
OK (skipped=41, expected failures=1)
```