CeNet Omnibus An R/Shiny application to the construction and analysis of competing endogenous RNA network

Introduction

We introduce CeNet Omnibus, an R/Shiny application, which provides a unified framework for the construction and analysis of ceRNA network. CeNet Omnibus enables users to select multiple measurements, such as Pearson correlation coefficient (PCC), mutual information (MI), and liquid association (LA), to identify ceRNA pairs and construct ceRNA networks. Furthermore, CeNet Omnibus provides a one-stop solution to analyze the topological properties of ceRNA networks, detect modules, and perform gene enrichment analysis and survival analysis. CeNet Omnibus intends to cover comprehensiveness, high efficiency, high expandability, and user customizability, and it also offers a web-based user-friendly interface to users to obtain the output intuitionally.

Publications

  1. CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network
    Xiao Wen, Lin Gao, Tuo Song, Chaoqun Jiang, 2021/2/18 - BMC Bioinformatics

Credits

  1. Xiao Wen williamxiao@live.cn
    InvestigatorDeveloper

    School of Computer Science and Technology, Xidian University, China

  2. Lin Gao lgao@mail.xidian.edu.cn
    Investigator

    School of Computer Science and Technology, Xidian University, China

  3. Tuo Song 183960685@qq.com
    DeveloperContributor

    School of Computer Science and Technology, Xidian University, China

  4. Chaoqun Jiang 845938922@qq.com
    DeveloperContributor

    School of Computer Science and Technology, Xidian University, China

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Summary
AccessionBT007152
Tool TypePipeline & Protocol
CategoryCompeting endogenous RNA
PlatformsWindows
TechnologiesR
User InterfaceWebpage
Latest Release1.0.0 (May 31, 2021)
Download Count832
Country/RegionChina
Submitted ByLin Gao
Fundings

This work was supported by the National Key R&D Program of China No. 2018YFC0910400.