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

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