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
Credits
- Xiao Wen williamxiao@live.cn InvestigatorDeveloper
School of Computer Science and Technology, Xidian University, China
- Lin Gao lgao@mail.xidian.edu.cn Investigator
School of Computer Science and Technology, Xidian University, China
- Tuo Song 183960685@qq.com DeveloperContributor
School of Computer Science and Technology, Xidian University, China
- Chaoqun Jiang 845938922@qq.com DeveloperContributor
School of Computer Science and Technology, Xidian University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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Accession | BT007152 |
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Tool Type | Pipeline & Protocol |
Category | Competing endogenous RNA |
Platforms | Windows |
Technologies | R |
User Interface | Webpage |
Latest Release | 1.0.0 (May 31, 2021) |
Download Count | 832 |
Country/Region | China |
Submitted By | Lin Gao |
This work was supported by the National Key R&D Program of China No. 2018YFC0910400.