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More Data is Not Always Better: The Influence of RefSeq Database Grows on Metagenomic Taxonomic Classification

Year: 2026

Type: article

Abstract: Current technologies allow for the sequencing of microbial communities directly from the environment without prior culturing. One of the major problems when analyzing a microbial sample is to taxonomically annotate its reads to identify the species it contains. In order to determine the role of the reference database in taxonomic sequence classification, we examine the influence of the database over time on the performance of Kraken 2 a widely used taxonomic classification and profiling method. We reported that changes in reference database over time influenced the accuracy of metagenomic taxonomic classification, and training the classifier with more data, e.g. new species, worsen the results.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/bioconf/202623201002/pdf

Authors: Leonardo Lazzaro, Enrico Rossignolo, Matteo Comin

Institution: University of Padua

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funder: European Commission

OpenAlex ID: W7156010209

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