07-26, 11:45–11:53 (US/Eastern), Tomatis Auditorium
GeneSetCluster is a powerful toolset for clustering gene-sets based on shared genes, facilitating the identification of groups with similar gene content. In its latest iteration, Version 2.0, GeneSetCluster has evolved to address the growing complexities of gene-set analysis (GSA). It is particularly useful when handling multiple GSAs derived from various data types or contrasting studies. The latest iteration of GeneSetCluster incorporates innovative approaches to analysis, functional annotations, and enhanced visualization techniques. A significant addition is the development of a user-friendly Shiny interface for GeneSetCluster2. This interface is specifically tailored to assist clinicians and biologists with limited bioinformatics experience in their analyses. Moreover, we have meticulously implemented and documented the optimal interaction between the Shiny application and the R package. This enhancement is aimed at fostering efficient collaboration among multidisciplinary teams engaged in gene-set analysis.
Passionate about Data Science, Bioinformatics and Genomics. PhD student at the Translational Bioinformatic Unit at Navarrabiomed.