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- Title
webCEMiTool: Co-expression Modular Analysis Made Easy.
- Authors
Cardozo, Lucas E.; Russo, Pedro S. T.; Gomes-Correia, Bruno; Araujo-Pereira, Mariana; Sepúlveda-Hermosilla, Gonzalo; Maracaja-Coutinho, Vinicius; Nakaya, Helder I.
- Abstract
Co-expression analysis has been widely used to elucidate the functional architecture of genes under different biological processes. Such analysis, however, requires substantial knowledge about programming languages and/or bioinformatics skills. We present webCEMiTool,1 a unique online tool that performs comprehensive modular analyses in a fully automated manner. The webCEMiTool not only identifies co-expression gene modules but also performs several functional analyses on them. In addition, webCEMiTool integrates transcriptomic data with interactome information (i.e., protein-protein interactions) and identifies potential hubs on each network. The tool generates user-friendly html reports that allow users to search for specific genes in each module, as well as check if a module contains genes overrepresented in specific pathways or altered in a specific sample phenotype. We used webCEMiTool to perform a modular analysis of single-cell RNA-seq data of human cells infected with either Zika virus or dengue virus.
- Subjects
COMPUTER software; GENE regulatory networks; GENETIC research; BIOINFORMATICS; FUNCTIONAL analysis
- Publication
Frontiers in Genetics, 2019, pN.PAG
- ISSN
1664-8021
- Publication type
Article
- DOI
10.3389/fgene.2019.00146