BALROG-MON: a high-throughput pipeline for Bacterial AntimicrobiaL Resistance annOtation of Genomes-Metagenomic Oxford Nanopore
BALROG-MON is a Nextflow pipeline for automated analysis of metagenomic long-read data to detect pathogens, annotate antimicrobial resistance genes (ARGs), link ARGs to specific pathogens, predict ARG origin (e.g., plasmid, chromosomal) and optionally perform steps like community analysis. With both assembly-based and assembly-free workflows, BALROG-MON is applicable to a wide range of sample types with low or high coverage, varying complexities and origins. Optional genome binning provides a comprehensive overview of ARGs within the dataset. BALROG-MON additionally presents results in summarized reports, overall serving as a flexible analysis tool for exploring diverse metagenomic samples for pathogens and antibiotic resistance.
Authors
- Victoria Pickens (ORCID: https://orcid.org/0000-0002-9179-9860)
- Kristopher Silver (ORCID: https://orcid.org/0000-0002-8140-2786)
- Dana Nayduch (ORCID: https://orcid.org/0000-0002-9258-6066)
- Edward J. Bird (ORCID: https://orcid.org/0009-0006-3782-9367)
- David Molik (ORCID: https://orcid.org/0000-0003-3192-6538)
Institutions
- Kansas State University (US)
- Center for Grain and Animal Health Research (US)
Publication Details
- Journal
- PubMed
- Published
- 2024-11-22
- DOI
- https://doi.org/10.17912/micropub.biology.001427
- Citations
- 1
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.23