Genetic correlation calculation pipeline via summary statistics for PheWeb
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Updated
Mar 22, 2019 - Nextflow
Genetic correlation calculation pipeline via summary statistics for PheWeb
GWAS Pre-Processing Pipeline
From QC to summary statistics
A shinyapp for performing GWAS in rapeseed based on a core collection
Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.
Tool for genome wide association studies with Bayesian inference and statistical learning
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.
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.
RHAPSODY WP3 Pre-Diabetes analysis script
A simple GWAS parser + CLI
GWAS summary statistics files QC tool
A pipeline for GEM And GWAS Automation
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
A web service to upload and share GWAS results with LocusZoom.js
Make interactive LocusZoom plots from a local GWAS file
tips and tricks in genome-wide association studies - a tutorial
multiple imputation for association studies
DRAGGER: Drug Repositioning by Analysis of GWAS and Gene Expression in R (maintained version). For publication version, see https://github.com/AEstebanMar/DAGGER-publication
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