ViTax: adaptive hierarchical viral taxonomy classification with a taxonomy belief tree on a foundation model.

ABSTRACT: Viruses exert a profound influence on both human health and the global ecosystem, yet they remain largely unexplored. Precise taxonomic classification of viral sequences is essential for discovering novel viruses, elucidating their functions, and assessing their implications for public health and environmental monitoring. Traditional taxonomy methods based on genome references are limited by the vast number of unexplored viruses, rapid mutation rates, and high genetic diversity. Additionally, highly imbalanced species distribution and significant variances in inter-species genomic distances across taxonomic units pose challenges to classifier training. Conceptualizing genomic sequences as sentences in a natural language, large language models provide novel approaches for extracting intrins

SUBMITTER: He Y 

PROVIDER: S-EPMC11805961 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature