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gwaslab

Definition
AI-generated

gwaslab is a Python toolkit for GWAS summary-statistics munging, harmonization, quality control, and visualization.

Topics
Visualization
URL
https://cloufield.github.io/gwaslab/
Related
Brisbane Plot Matplotlib Miami Plot

Why it matters in GWAS

Many downstream GWAS tasks begin with imperfect summary-statistic files from different cohorts or software. A toolkit like gwaslab reduces manual reformatting, flags common metadata problems, and makes it easier to generate reproducible plots for inspection and reporting.

Example usage

"We loaded the PLINK 2 association results in gwaslab, checked the summary-statistic metadata, and generated Manhattan and regional plots."

Brisbane Plot Matplotlib Miami Plot seaborn GWAS Summary Statistics Manhattan Plot PLINK Quantile-quantile plot (QQ plot) Quality Control (QC) Regional Plot
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

← GWAS Summary Statistics Gambian in Western Division, The Gambia (GWD) →

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