Repositorio UFRO · Omeka S

Computational approaches for circRNAs prediction and in silico characterization

Primer Autor	Saavedra, Nicolas
Co-autores	Rebolledo, Camilo Silva, Juan Pablo Maracaja-Coutinho, Vinicius
Título	Computational approaches for circRNAs prediction and in silico characterization
Editorial	OXFORD UNIV PRESS
Revista	BRIEFINGS IN BIOINFORMATICS
Lenguaje	en
Resumen	Circular RNAs (circRNAs) are single-stranded and covalently closed non-coding RNA molecules originated from RNA splicing. Their functions include regulatory potential over other RNA species, such as microRNAs, messenger RNAs and RNA binding proteins. For circRNA identification, several algorithms are available and can be classified in two major types: pseudo-reference-based and split-alignment-based approaches. In general, the data generated from circRNA transcriptome initiatives is deposited on public specific databases, which provide a large amount of information on different species and functional annotations. In this review, we describe the main computational resources for the identification and characterization of circRNAs, covering the algorithms and predictive tools to evaluate its potential role in a particular transcriptomics project, including the public repositories containing relevant data and information for circRNAs, recapitulating their characteristics, reliability and amount of data reported.
Fecha Publicación	2023
Tipo de Recurso	artículo de revisión
doi	10.1093/bib/bbad154
Formato Recurso	PDF
Palabras Claves	circRNA circRNA regulation circRNA-miRNA prediction bioinformatics
Ubicación del archivo	http://dx.doi.org/10.1093/bib/bbad154
Categoría OCDE	Bioquímica y biología molecular Biología matemática y computacional
Materias	ARNcircular regulación del ARNcirc predicción de circRNA-miRNA bioinformática
Identificador del recurso (Mandatado-único)	artículo de revisión
Versión del recurso (Recomendado-único)	versión publicada
License	CC BY 4.0
Condición de la licencia (Recomendado-repetible)	CC BY 4.0
Derechos de acceso	acceso abierto
Access Rights	acceso abierto
Id de Web of Science	WOS:000980883200001
ISSN	1467-5463
Tipo de ruta	verde# dorada
Categoría WOS	Bioquímica y biología molecular Biología matemática y computacional
Referencia del Financiador (Mandatado si es aplicable-repetible)	ANID 21191016 ANID 21220964 ANID-FONDECYT 1211731 ANID-FONDAP 15120011 ANID-STIC/AmSud STIC2020008 ANID-Anillo ACT210004 ANID-Anillo ATE220016