Multigranular Analysis of Regulatory Variants on the Epigenomic Landscape
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Updated
Feb 3, 2021 - Python
Multigranular Analysis of Regulatory Variants on the Epigenomic Landscape
Reviewing the (preliminary) summary statistics from the COVID19 Host Genetics Initiative meta-analysis of genome-wide association studies (GWAS).
Scripts and results from an article on screening of Norwegian health registries in search for associations between drug usage and Parkinson's disease incidence.
Phenotype-Gene Association Test for Case-Control Study using NGS-Sequencing Data
R package to access GWAS Catalog FTP data
A tool to perform Genome-Wide Association Studies
PRAWNS: A fast and scalable bioinformatics tool that generates an efficient pan-genome representation of closely related whole genomes to provide a concise list of genomic features
DeepGenomeScan: A Deep Learning Approach for Whole Genome Scan (WGS) and Genome-wide Association Studies (GWAS)
THESIAS: Testing Haplotype Effects In Association Studies
iPat allows you to perform GWAS and GS with drags and clicks!
A ToolKit to perform a Meta-analysis of Genome-Wide Association Studies
gwasrapidd: an R package to query, download and wrangle GWAS Catalog data
machine learning for genomic variants
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