Glow
latest
Introduction to Glow
Getting Started
GWAS Tutorial
Customizing Glow
Variant Data Manipulation
Tertiary Analysis
The Pipe Transformer for Parallelizing Command-Line Bioinformatics Tools
Python Statistics Libraries
GloWGR: Whole Genome Regression
GloWGR: Genome-Wide Association Study (GWAS) Regression Tests
Troubleshooting
Contributing
Blog Posts
Additional Resources
Python API
Glow
Tertiary Analysis
Edit on GitHub
Tertiary Analysis
Perform population-scale statistical analyses of genetic variants.
The Pipe Transformer for Parallelizing Command-Line Bioinformatics Tools
Usage
Integrating with bioinformatics tools
Options
Cleanup
Examples
Python Statistics Libraries
pandas example notebook
GloWGR: Whole Genome Regression
Performance
Overview
Data preparation
Stage 1. Genotype matrix blocking
Stage 2. Dimensionality reduction
Stage 3. Estimate phenotypic predictors
Proceed to GWAS
Troubleshooting
Example notebook
GloWGR: Genome-Wide Association Study (GWAS) Regression Tests
Linear regression
Logistic regression
Offset
Read the Docs
v: latest
Versions
latest
stable
v2.0.0
v1.2.1
v1.1.2
v1.1.1
v1.1.0
main
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds