CoMIT: a bioinformatic pipeline for risk-based prediction of COVID-19 test inclusivity
BioFire Defense has developed CoMIT, an automated bioinformatic pipeline for efficient processing and reporting of variant inclusivity from the GISAID EpiCoV™ repository. This tool ensures continuous and comprehensive post market evaluations of BioFire COVID-19 Test performance even from datasets large enough to impede standard inclusivity analyses. CoMIT's low computational space complexity and modular code allow this tool to be generalized for inclusivity monitoring of multianalyte or single analyte tests with complex assay designs and/or highly variable targets. CoMIT's databasing capabilities and metadata handling hold the potential for new investigations to improve readiness for future outbreaks.
Authors
- J. Wolff (ORCID: https://orcid.org/0009-0003-5724-4858)
- David Walker (ORCID: https://orcid.org/0000-0002-7140-6855)
- Wendy‐Ann Smith (ORCID: https://orcid.org/0000-0003-0221-1453)
- Connor P. Healy
- A. Stephenson
- Marianne Kim
- L Gale
- Hannah F. Van Hollebeke
Institutions
- BioFire Diagnostics (United States) (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1186/s12859-025-06046-y
- Citations
- 1
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- BioFire Diagnostics