Predicting Human miRNA-like Sequences within Human Papillomavirus Genomes

BACKGROUND: This study presents a prediction of putative miRNA within several Human Papillomavirus (HPV) types by using bioinformatics tools and a strategy based on sequence and structure alignment. Currently, little is known about HPV miRNAs. METHODS: Computational methods have been widely app...

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Bibliographic Details
Main Author: Gutierrez, DA
Other Authors: Varela Ramirez, A, Rodriguez Esquivel, M, Mendoza Rodriguez, MG, Ayala Sumuano, JC, Pineda, D, Garrido Guerrero, E, Jimenez Vega, F, Aguilar, S, Quiñones, M, Nambo, MJ, Chavez Olmos, P, Taniguci Ponciano, K, Marrero Rodriguez, D, Romero Morelos, P, Castro, JP, Bandala, C, Carrillo Romero, A, Gonzalez Yebra, B, Salcedo, M
Format: Artículo
Language:en_US
Published: 2018
Subjects:
Online Access:https://doi.org/10.1016/j.arcmed.2018.10.008. Epub 2018 Nov
https://www.ncbi.nlm.nih.gov/pubmed/30401587
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