Metadata-Version: 2.4
Name: audreylab-summarypostqc
Version: 0.1.1
Summary: GWAS summary QC plotting tool (QQ & Manhattan plots)
Home-page: https://github.com/audreygrantlab/audreylab-summarypostqc
Author: Etienne Kabongo
Author-email: Etienne Kabongo <etienne@example.com>
License: MIT
Project-URL: Homepage, https://github.com/audreygrantlab/audreylab-summarypostqc
Project-URL: Bug Tracker, https://github.com/audreygrantlab/audreylab-summarypostqc/issues
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scipy
Dynamic: author
Dynamic: home-page
Dynamic: requires-python

# AudreyLab-SummaryPostQC

[![PyPI version](https://badge.fury.io/py/audreylab-summarypostqc.svg)](https://pypi.org/project/audreylab-summarypostqc/)
[![License](https://img.shields.io/github/license/audreygrantlab/audreylab-summarypostqc)](LICENSE)
[![Python](https://img.shields.io/badge/python-3.7%2B-blue.svg)](https://www.python.org/)

**AudreyLab-SummaryPostQC** is a command-line tool to generate **QQ plots** and **Manhattan plots** from GWAS summary statistics.  
It was developed by **Etienne Kabongo** from the **Audrey Grant Lab**, McGill University.

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## 🔧 Features

- Parses post-QC GWAS summary files (e.g. from REGENIE)
- Filters valid P-values
- Computes genomic inflation factor (λGC)
- Creates clean and high-quality QQ plots
- Creates Manhattan plots (per chromosome)

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## 📦 Installation

```bash
pip install audreylab-summarypostqc

