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GWAS summary QC plotting tool (QQ & Manhattan plots)

Project description

AudreyLab-SummaryPostQC

PyPI version License Python

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.


🔧 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)

📦 Installation

pip install audreylab-summarypostqc

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