Functional studies of GWAS variants are gaining momentum | Nature Communications
GWAS: Fast-forwarding gene identification and characterization in temperate Cereals: lessons from Barley – A review - ScienceDirect
Open-source tools for working with GWAS-VCF | Download Scientific Diagram
GitHub - hclimente/gwas-tools: 🧬 Containerized pipelines for GWAS
An Introduction To Genome-Wide Association Study (GWAS)
GitHub - MRCIEU/gwasglue: Linking GWAS data to analytical tools in R
GMStool: GWAS-based marker selection tool for genomic prediction from genomic data | Scientific Reports
MultiGWAS: An integrative tool for Genome Wide Association Studies in tetraploid organisms - Garreta - 2021 - Ecology and Evolution - Wiley Online Library
H3AGWAS: a portable workflow for genome wide association studies | BMC Bioinformatics | Full Text
Genome-Wide Association Studies
Frontiers | Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
Pascal - testwiki
129 Free Genome-wide Association Study (GWAS) Tools - Software and Resources
Genome-wide association study - Wikipedia
Frontiers | AquaGWAS: A Genome-Wide Association Study Pipeline for Aquatic Animals and Its Application to Reference-Required and Reference-Free Genome-Wide Association Study for Abalone
A practical view of fine-mapping and gene prioritization in the post-genome-wide association era | Open Biology
GWAS Summary Statistics | Scientific Computing and Data
Tools for GWAS analysis in cereals | Download Scientific Diagram
Genome-wide association studies | Nature Reviews Methods Primers
129 Free Genome-wide Association Study (GWAS) Tools - Software and Resources
sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies | Genome Biology | Full Text
MultiGWAS: An integrative tool for Genome Wide Association Studies in tetraploid organisms - Garreta - 2021 - Ecology and Evolution - Wiley Online Library
Genome-Wide Association Studies (GWAS)
Biological interpretation of genome-wide association studies using predicted gene functions | Nature Communications
Gene Set Analysis of GWAS data with MAGMA - BioBam
