webCEMiTool: Co-expression Modular Analysis Made Easy
Sepúlveda-Hermosilla, Gonzalo [Univ Mayor, Fac Ciencias, Ctr Genom & Bioinformat, Santiago, Chile]
Cardozo, Lucas E.
Russo, Pedro S. T.
Nakaya, Helder, I
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.
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