VirMake: a flexible and user-friendly pipeline for viral taxonomic and functional characterisation from shotgun metagenomic sequencing data

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The paper describes VirMake, a flexible, scalable bioinformatic pipeline for viral taxonomic and functional characterization from shotgun metagenomic sequencing data. The authors developed an end-to-end workflow that performs viral sequence identification, metagenomic assembly, and taxonomic/functional annotation, with a modular design that lets users integrate viral analysis at different stages. They demonstrate VirMake on three metagenomic datasets (up to 2.9 Tbp) from human gut and water, using different sample preparation approaches including VLP enrichment versus bulk DNA extraction, finding that viral genome richness, taxonomy, and annotation integration vary by environment and laboratory protocol. The paper’s limitation is that the showcased results are confined to these particular datasets and environments rather than broadly covering all possible sampling and preparation conditions. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Background Bacteriophages (phages) are recognized as key regulators of microbial communities, and it is pivotal to understand viral ecology, diversity, and evolution. However, identification and characterization of phages from shotgun metagenome sequencing pose unique bioinformatic challenges owing to the inherent complexity and scale of the data.

Results

Here, we introduce VirMake, a comprehensive, flexible, and scalable pipeline developed for viral taxonomic and functional analysis of shotgun metagenome data. It enables high-throughput end-to-end processing, assembly, and annotation of metagenomic data, including viral sequence identification, taxonomic and functional annotation, and using a modular framework, allows users to integrate viral analysis at different stages of metagenome data analysis. VirMake can be installed on Linux operating systems that support Conda and is freely available at https://github.com/Rounge-lab/VirMake. Here, we showcase VirMake capabilities using three metagenome datasets of varying sizes (up to 2.9 Tbp), generated from various environments (human gut and water) and using different sample preparation protocols (VLP enrichment and bulk DNA extraction).

Conclusions

VirMake enabled robust processing of all datasets, showing viral genome richness, taxonomy and integration status to vary according to sampling environments and laboratory protocols. Competing Interest Statement The authors have declared no competing interest. Footnotes Email addresses: Einar Elvbakken Birkeland e.e.birkeland{at}farmasi.uio.no Paula Istvan paulaistvan2{at}gmail.com Ekaterina Avershina ekateria{at}ifi.uio.no Torbjørn Rognes torognes{at}ifi.uio.no Trine Ballestad Rounge t.b.rounge{at}farmasi.uio.no

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last seen: 2026-05-20T01:45:00.602351+00:00