TaxTriage: an open-source metagenomic sequencing data analysis pipeline enabling putative pathogen detection

MOTIVATION: TaxTriage is a comprehensive pathogen identification workflow designed for both short- and long-read untargeted DNA and RNA sequencing data. Combining read classification, mapping, and de novo assembly approaches, putative pathogens are identified through comparisons to curated pathogens and abundance expectations from healthy cohort data. Flexible installation options are enabled using Nextflow™ (NF), including cloud deployment via NF Tower (Seqera Platform) and local installation on a variety of systems, including standalone installations without external internet access. Final analysis summaries are compiled into an Organism Discovery Report, which lists likely pathogens and supporting data, including a custom confidence score. RESULTS: Evaluation of published in silico, clinical, and outbreak datasets identified performance comparable to alternative cloud-based processing pipelines for expected pathogen and co-infection detection with similar sensitivity and increased specificity. To support both public health and veterinary diagnostics communities, customization options have been incorporated to enable improved performance for host species of interest. AVAILABILITY AND IMPLEMENTATION: Source code for TaxTriage is freely available at https://github.com/jhuapl-bio/taxtriage. TaxTriage v2.1.1 has been archived on Zenodo at https://zenodo.org/records/17081354 to permit reproducible analysis as described in this manuscript.

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Publication Details

Journal
Bioinformatics
Published
2026-03-31
DOI
https://doi.org/10.1093/bioinformatics/btag119
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

TaxTriage: an open-source metagenomic sequencing data analysis pipeline enabling putative pathogen detection

Peter Thielen, Matthew R. Mauldin, Gunars Osis, Brian Merritt et al.
Bioinformatics
Genomics and Phylogenetic Studies
article

TaxTriage: an open-source metagenomic sequencing data analysis pipeline enabling putative pathogen detection

Peter Thielen, Matthew R. Mauldin, Gunars Osis, Brian Merritt, Jeremy D. Ratcliff, Stanley Ta
article en

Abstract

MOTIVATION: TaxTriage is a comprehensive pathogen identification workflow designed for both short- and long-read untargeted DNA and RNA sequencing data. Combining read classification, mapping, and de novo assembly approaches, putative pathogens are identified through comparisons to curated pathogens and abundance expectations from healthy cohort data. Flexible installation options are enabled using Nextflow™ (NF), including cloud deployment via NF Tower (Seqera Platform) and local installation on a variety of systems, including standalone installations without external internet access. Final analysis summaries are compiled into an Organism Discovery Report, which lists likely pathogens and supporting data, including a custom confidence score. RESULTS: Evaluation of published in silico, clinical, and outbreak datasets identified performance comparable to alternative cloud-based processing pipelines for expected pathogen and co-infection detection with similar sensitivity and increased specificity. To support both public health and veterinary diagnostics communities, customization options have been incorporated to enable improved performance for host species of interest. AVAILABILITY AND IMPLEMENTATION: Source code for TaxTriage is freely available at https://github.com/jhuapl-bio/taxtriage. TaxTriage v2.1.1 has been archived on Zenodo at https://zenodo.org/records/17081354 to permit reproducible analysis as described in this manuscript.

BioinformaticsVol. 42(4)
Johns Hopkins University Applied Physics Laboratory (US), Office of Readiness and Response (US), Centers for Disease Control and Prevention (UG)
U.S. Department of Health and Human Services, Association of Public Health Laboratories, Fogarty International Center
Openalex Percentile: Top 27%
Genomics and Phylogenetic Studies
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