RNAVirHost: a machine learning-based method for predicting hosts of RNA viruses through viral genomes.

Journal: GigaScience
PMID: 39172545

Abstract

BACKGROUND: The high-throughput sequencing technologies have revolutionized the identification of novel RNA viruses. Given that viruses are infectious agents, identifying hosts of these new viruses carries significant implications for public health and provides valuable insights into the dynamics of the microbiome. However, determining the hosts of these newly discovered viruses is not always straightforward, especially in the case of viruses detected in environmental samples. Even for host-associated samples, it is not always correct to assign the sample origin as the host of the identified viruses. The process of assigning hosts to RNA viruses remains challenging due to their high mutation rates and vast diversity.

Authors

  • Guowei Chen
    MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Jingzhe Jiang
    Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
  • Yanni Sun
    Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.

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