ArticleViruses2026
MGtree: A Fast and Flexible Alignment-Based Metagenomics Pipeline.
Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
Metagenomics analysis is a critical tool in identifying and typing viral samples to aid surveillance, clinical, epidemiological, and other workflows. Despite advances in sequencing technology and analysis pipelines, there are still limitations that lead to reduced taxonomic resolution or false positives from highly recombinant or challenging samples. Here we describe MGtree, a novel metagenomics pipeline that utilizes a combination of full-length read alignments and phylogenetic analysis to classify samples of interest. We demonstrate that MGtree accurately genotypes viral samples from challenging norovirus and HPV datasets. MGtree outperforms the popular metagenomics programs Kraken2 and Centrifuge, and it succeeds with low-input samples where de novo assembly fails. MGtree's correct assignments across highly mutant and coinfected samples highlights its ability to resolve viral genotypes and its potential to improve classification precision in complex samples.
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