A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes.

In this study we analyzed 5 human retro virus genomes; Human endogenous retrovirus K113, Hepatitis B virus (strain ayw), Human T lymphotropic virus 1, Human T lymphotropic virus 2, Human immunodeficiency virus 2, and Human immunodeficiency virus 1. We then predicted pre-miRNAs by using the information from known virus and human pre-miRNAs. Our results indicate that these viruses produce novel unknown miRNA precursors which warrant further experimental validation. PMID: 29216001 [PubMed - in process]
Source: Journal of integrative bioinformatics - Category: Bioinformatics Tags: J Integr Bioinform Source Type: research