Metadata-Version: 2.1
Name: affipred
Version: 0.1.2.1
Summary: AlphaFold based Functional Impact Prediction of Missense Variations
Home-page: https://github.com/mustafapir/affipred
Author: Mustafa S. Pir
Author-email: mustafapir29@gmail.com
Project-URL: Bug Tracker, https://github.com/mustafapir/affipred/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pysam>=0.22.0
Requires-Dist: requests>=2.31.0
Requires-Dist: pandas>=2.0.0
Requires-Dist: biopython>=1.81
Requires-Dist: numpy>=1.24.0

# AFFIPred: AlphaFold based Functional Impact Prediction of Missense Variations

## Usage:
First, install the tool using pip.
```
pip install affipred
```

Provide input and output files with relative or absolute path:
```
affipred variants.vcf -o affipred_results.csv
```
The input should be a `.vcf` file while the output file name extension should be `.csv`. 

The output file will contain all the features used to predict the impact of the variants alongside the AFFIPred scores and the prediction of functional impact of the variants.
