ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: microRNAs (miRNAs) play a vital role in development, oncogenesis, and apoptosis by binding to mRNAs to regulate the posttranscriptional level of coding genes in mammals, plants, and insects. Recent studies have demonstrated that the expression of viral miRNAs is associated with the ability of the virus to infect a host. Identifying potential viral miRNAs from experimental sequence data is valuable for deciphering virus-host interactions. Thus far, a specific predictive model for viral miRNA identification has yet to be developed.

Authors

  • Kai-Yao Huang
  • Tzong-Yi Lee
  • Yu-Chuan Teng
  • Tzu-Hao Chang
    International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.