| Issue |
BIO Web Conf.
Volume 232, 2026
2026 16th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2026)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 12 | |
| Section | Bioinformatics Algorithms and Advanced Omics Data Analysis | |
| DOI | https://doi.org/10.1051/bioconf/202623201002 | |
| Published online | 24 April 2026 | |
More Data is Not Always Better: The Influence of RefSeq Database Grows on Metagenomic Taxonomic Classification
Department of Information Engineering, University of Padua, Italy
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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.
© The Authors, published by EDP Sciences, 2026
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