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HYMET demonstrates improved taxonomic classification in metagenomic data, suggesting effective pipeline advancements.
HYMET achieves a practical balance of accuracy, efficiency, and scalability for metagenomic classification. Its adaptive candidate selection, alignment-anchored taxonomy, and reproducible reference caching collectively enhance performance across domains. HYMET source code is fully available at https://github.com/ieeta-pt/HYMET.
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Martins et al. (2026) studied this question.
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