Web App for Processing, Clustering and Visualization of Gene Graphs from Scientific Workflows

• Alexandre A. P. Heine Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
• Eduardo P. S. Santos Federal Rural University of Rio de Janeiro (UFRRJ)
• Marcelo F. Lima Federal Rural University of Rio de Janeiro (UFRRJ)
• Sérgio Lifschitz Pontifical Catholic University of Rio de Janeiro (PUC-Rio) https://orcid.org/0000-0003-3073-3734

DOI: https://doi.org/10.5753/sbbd_estendido.2021.18163

Abstract

This work proposes an web app to support data from scientific workflows of differentially expressed genes obtained from RNA-seq analyses. Therefore, it contributes with ways to manage these data, allowing to form gene graphs using gene interaction data, as well as create subgraphs and representative clusters, using information obtained from data stored in string files. These files are processed as new requests are made in the application and their resultant data is stored in a relational database, which allows researchers to view and manage gene graphs for their studies.

Keywords: Bioinformatics, preprocessing, clustering, graphs, visualization

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