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.md
Links to other documentation and videos

Links

Issue tracker
https://github.com/h3abionet/h3agwas/issues
(This is for help around technical aspects of the workflow and bugs)
Helpdesk
https://helpdesk.h3abionet.org
(For help about doing GWAS analysis)