Canary
Canary converts MaCH mldose and mlinfo dosage files into PLINK1- and PLINK2-compatible formats to enable genome-wide association analyses of imputed genotype data.
Key Features:
- Automatic conversion: Automates transformation of MaCH mldose and mlinfo files into PLINK-compatible formats via a single command-line invocation.
- Singularity containerization: Encapsulates all software dependencies within Singularity containers to enable reproducible execution across HPC environments.
- Preinstalled GWAS software: Includes GWAS tools such as PLINK and Bioconductor inside the container for downstream analysis.
- Public dataset support: Supports conversion of MaCH-formatted imputed data commonly distributed by repositories such as dbGaP and the Women's Health Initiative (WHI).
Scientific Applications:
- GWAS with imputed dosages: Produces PLINK1/PLINK2-compatible files from MaCH dosage output to enable association testing using imputed genotype dosages.
- Re-analysis of public cohorts: Facilitates re-analysis of dbGaP and WHI datasets by converting their MaCH dosage files into formats accepted by standard GWAS workflows.
- Integration with analysis workflows: Enables downstream use of PLINK and Bioconductor-based pipelines on converted imputed datasets.
Methodology:
Conversion of MaCH mldose and mlinfo files into PLINK1/PLINK2-compatible formats is performed within Singularity containers that encapsulate PLINK, Bioconductor, and other necessary software dependencies.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Linux
- Programming Languages:
- Shell, Python, R
- Added:
- 9/29/2022
- Last Updated:
- 9/29/2022
Operations
Publications
Bennett AN, Rainford J, Huang X, He Q, Chan KHK. Canary: an automated tool for the conversion of MaCH imputed dosage files to PLINK files. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04822-8. PMID:35896971. PMCID:PMC9327220.
PMID: 35896971
PMCID: PMC9327220
Funding: - City University of Hong Kong New Research Initiative/Infrastructure Support from Central: 9610401