H3AGWAS
H3AGWAS performs comprehensive genome-wide association study workflows by providing data quality control, association testing, and reproducible workflow management for human GWAS analyses.
Key Features:
- Workflow Management: Utilizes Nextflow to manage complex workflows, ensuring reproducibility and scalability.
- Portability: Employs Docker containers to enable portable execution across computing environments.
- Data Quality Control (QC): Incorporates comprehensive QC steps to ensure integrity and reliability of genomic data prior to analysis.
- Association Testing: Performs association testing to identify genetic variants associated with traits or diseases.
- Extensibility: Designed to allow integration of additional analysis modules and features.
Scientific Applications:
- Human GWAS: Supports genome-wide association studies in human datasets to detect genotype–phenotype associations.
- Genomic data management and analysis: Provides a framework for managing and analyzing genomic data within GWAS workflows.
Methodology:
Implements Nextflow-managed workflows with Docker containers, executing comprehensive QC steps followed by association testing.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Mac, Linux
- Programming Languages:
- Other, Python
- Added:
- 8/12/2021
- Last Updated:
- 11/11/2021
Operations
Publications
Hazelhurst S, Brandenburg J-T, Magosi L, Clark L, de Beste E, Clucas R. GWAS Pipeline for H3Africa [Internet]. University of Cape Town; 2021. Available from: https://zivahub.uct.ac.za/articles/software/GWAS_Pipeline_for_H3Africa/14405990/2
Documentation
Release notes
https://github.com/h3abionet/h3agwas/blob/master/README.mdLinks to other documentation and videos
Links
Repository
https://github.com/h3abionet/h3agwasIssue tracker
https://github.com/h3abionet/h3agwas/issues(This is for help around technical aspects of the workflow and bugs)