Computational approaches and challenges in the analysis of circRNA data.
BMC Genomics
; 25(1): 527, 2024 May 28.
Article
em En
| MEDLINE
| ID: mdl-38807085
ABSTRACT
Circular RNAs (circRNA) are a class of non-coding RNA, forming a single-stranded covalently closed loop structure generated via back-splicing. Advancements in sequencing methods and technologies in conjunction with algorithmic developments of bioinformatics tools have enabled researchers to characterise the origin and function of circRNAs, with practical applications as a biomarker of diseases becoming increasingly relevant. Computational methods developed for circRNA analysis are predicated on detecting the chimeric back-splice junction of circRNAs whilst mitigating false-positive sequencing artefacts. In this review, we discuss in detail the computational strategies developed for circRNA identification, highlighting a selection of tool strengths, weaknesses and assumptions. In addition to circRNA identification tools, we describe methods for characterising the role of circRNAs within the competing endogenous RNA (ceRNA) network, their interactions with RNA-binding proteins, and publicly available databases for rich circRNA annotation.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
RNA Circular
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article