ArticleNAR genomics and bioinformatics2025
Advancing metagenomic classification with NABAS+: a novel alignment-based approach.
Article in NAR genomics and bioinformatics, 2025. 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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Abstract
Microbiome research has expanded rapidly in the last decade due to advances in sequencing technology, resulting in larger and more complex data. This has also led to the development of a plethora of metagenomic classifiers applying different algorithmic principles to classify microorganisms. However, accurate metagenomic classification remains challenging due to false positives and the need for dataset-specific tuning, limiting the comparability of distinct studies and clinical use. In this study, we demonstrate the discrepancy between current, commonly used classifiers and propose a novel classifier, NABAS+ (Novel Alignment-based Biome Analyzing Software+). NABAS+ uses BWA (Burrows-Wheeler aligner) alignment with strict RefSeq curation to ensure one reliable genome per species and filters for genomes with only high-quality reads for precise species-level identification from Illumina shotgun data. The performance of our algorithm and three commonly used classifiers was evaluated on
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