CeRNASeek: an R package for identification and analysis of ceRNA regulation.


Journal

Briefings in bioinformatics
ISSN: 1477-4054
Titre abrégé: Brief Bioinform
Pays: England
ID NLM: 100912837

Informations de publication

Date de publication:
20 05 2021
Historique:
received: 30 01 2020
revised: 27 02 2020
accepted: 08 03 2020
pubmed: 5 5 2020
medline: 16 11 2021
entrez: 5 5 2020
Statut: ppublish

Résumé

Competitive endogenous RNA (ceRNA) represents a novel layer of gene regulation that controls both physiological and pathological processes. However, there is still lack of computational tools for quickly identifying ceRNA regulation. To address this problem, we presented an R-package, CeRNASeek, which allows identifying and analyzing ceRNA-ceRNA interactions by integration of multiple-omics data. CeRNASeek integrates six widely used computational methods to identify ceRNA-ceRNA interactions, including two global and four context-specific ceRNA regulation prediction methods. In addition, it provides several downstream analyses for predicted ceRNA-ceRNA pairs, including regulatory network analysis, functional annotation and survival analysis. With examples of cancer-related ceRNA prioritization and cancer subtyping, we demonstrate that CeRNASeek is a valuable tool for investigating the function of ceRNAs in complex diseases. In summary, CeRNASeek provides a comprehensive and efficient tool for identifying and analysis of ceRNA regulation. The package is available on the Comprehensive R Archive Network (CRAN) at https://CRAN.R-project.org/package=CeRNASeek.

Identifiants

pubmed: 32363380
pii: 5828126
doi: 10.1093/bib/bbaa048
pii:
doi:

Substances chimiques

MicroRNAs 0
RNA 63231-63-0
PTEN Phosphohydrolase EC 3.1.3.67
PTEN protein, human EC 3.1.3.67

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Auteurs

Mengying Zhang (M)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Xiyun Jin (X)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Junyi Li (J)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Yi Tian (Y)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Qi Wang (Q)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Xinhui Li (X)

College of Bioinformatics Science and Technology at Harbin Medical University, China.

Juan Xu (J)

College of Bioinformatics Science and Technology at Harbin Medical University, China.
Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, China.

Yongsheng Li (Y)

College of Bioinformatics Science and Technology at Harbin Medical University, China.
Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, China.

Xia Li (X)

College of Bioinformatics Science and Technology at Harbin Medical University, China.
Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, China.

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Classifications MeSH