Extracting disease-gene associations from the GWAS Catalog
-
Updated
Mar 26, 2016 - Jupyter Notebook
Extracting disease-gene associations from the GWAS Catalog
Simple wrapper for the GWAS Catalog
Analysis of genotype data from 23andMe DNA testing.
A curated list (with links) of useful tools for genome-wide association analysis.
Snakemake workflow designed to annotate VCF files withe SnpEff / SniSift
Easily install and load the hapiverse
Analysis of regulatory impacts of autism-associated SNPs on biological pathways in the fetal and adult cortex.
Make interactive LocusZoom plots from a local GWAS file
De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.
An Alfred workflow to browse the GWAS catalog
tool for probabilistic correction of Winner's Curse in two-stage GWAS
gwasrapidd: an R package to query, download and wrangle GWAS Catalog data
R package to access GWAS Catalog FTP data
pandasGWAS: a Python package for easy retrieval of GWAS Catalog data
EDA of different databases to extract IBD-relevant genes, their coverage in a 10X Genomics spatial transcriptomics panel and the main cell types and tissues related to these genes.
Cancer variant data from genome-wide association studies (GWAS)
Add a description, image, and links to the gwas-catalog topic page so that developers can more easily learn about it.
To associate your repository with the gwas-catalog topic, visit your repo's landing page and select "manage topics."