This is a general (somewhat comprehensive) description of the LNG GWAS pipeline which can be used to guide researchers on how-to run a GWAS.
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Updated
May 18, 2022 - R
This is a general (somewhat comprehensive) description of the LNG GWAS pipeline which can be used to guide researchers on how-to run a GWAS.
tips and tricks in genome-wide association studies - a tutorial
GWAS summary statistics files QC tool
From QC to summary statistics
kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.
Make interactive LocusZoom plots from a local GWAS file
Tool for genome wide association studies with Bayesian inference and statistical learning
GWAS analysis process based on EMMAX software
Genetic correlation calculation pipeline via summary statistics for PheWeb
A pipeline for GEM And GWAS Automation
RHAPSODY WP3 Pre-Diabetes analysis script
A shinyapp for performing GWAS in rapeseed based on a core collection
A web service to upload and share GWAS results with LocusZoom.js
We suggest a novel way of defining NCD as a continuous phenotype, and we employ a mixed linear model to account for pronounced population stratification in the South Asian sample, which is more diverse than European samples, for example.
Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.
GWAS Pre-Processing Pipeline
DRAGGER: Drug Repositioning by Analysis of GWAS and Gene Expression in R (maintained version). For publication version, see https://github.com/AEstebanMar/DAGGER-publication
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
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