gPLINK
gPLINK provides Java-based integration with PLINK to facilitate execution and management of whole-genome association study analyses.
Key Features:
- Java-based implementation: Implements a Java-based integration layer for interacting with PLINK command execution and project-level management.
- Command Management: Maintains a comprehensive record of all executed PLINK commands within a project to support reproducibility.
- File Tracking: Tracks input and output files associated with each command to preserve data provenance.
- Annotation Capabilities: Supports annotation of PLINK result files to enhance result interpretability.
- Integration with Haploview: Facilitates integration with Haploview for linkage disequilibrium and haplotype analysis.
- PLINK functionality exposure: Exposes PLINK capabilities for data management, summary statistics, population stratification, association analysis, and IBD estimation.
Scientific Applications:
- Whole-Genome Association Studies: Supports manipulation and analysis of large genotype datasets comprising hundreds of thousands of markers across thousands of individuals using PLINK commands.
- Population-based linkage analysis: Enables use of identity-by-descent information to map disease loci containing multiple rare variants.
Methodology:
Invokes PLINK functionality across five domains: data management; summary statistics; population stratification using identity-by-state (IBS) and identity-by-descent (IBD); association analysis; and IBD estimation for population-based linkage analysis to map disease loci containing multiple rare variants.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- workflow
- Operating Systems:
- Linux
- Programming Languages:
- Shell
- Added:
- 8/20/2017
- Last Updated:
- 9/4/2019
Operations
Publications
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. The American Journal of Human Genetics. 2007;81(3):559-575. doi:10.1086/519795. PMID:17701901. PMCID:PMC1950838.