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 | |
| 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
|
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