Minisymposium Presentation

Efficient analysis of Big Data presents unique challenges across molecular biology, genetics, biomedical sciences, and healthcare, particularly in advancing personalized diagnostics and therapeutics. This necessitates innovative strategies for effective information management. Here, we explore the evolving landscape of Bioinformatics and Computational Biology, reshaping data storage, management, and access through advancements in High-Performance Computing (HPC) and Big Data. Our project aims to develop sustainable scientific gateways for bioinformatics by integrating HPC environments, scientific workflows, and artificial intelligence. The BioinfoPortal (https://bioinfo.lncc.br/) serves as a multiuser infrastructure for bioinformatics applications, seamlessly connected to the HPC infrastructure of Santos Dumont (SDumont, https://sdumont.lncc.br/), the largest supercomputer in Latin America, boasting 5.1 Petaflops and 36,472 computational cores across 1,134 computational nodes. We discuss challenges in executing applications efficiently and provide insights to enhance computational resource utilization, exploring large-scale bioinformatics experiments for potential improvements. Currently, we are integrating artificial intelligence techniques to predict the optimal use of SDumont computational resources.