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UID:submissions.pasc-conference.org_PASC24_sess122_msa141@linklings.com
SUMMARY:Enhancing Bioinformatics Research Efficiency in Supercomputer Envi
 ronments with Artificial Intelligence Support
DESCRIPTION:Minisymposium\n\nKary Ann del Carmen Ocaña Gautherot (LNCC); D
 ouglas Cardoso (Polytechnic Institute of Tomar); and Micaella Coelho, Alex
 andre Porto, and Carla Osthoff (LNCC)\n\nEfficient analysis of Big Data pr
 esents unique challenges across molecular biology, genetics, biomedical sc
 iences, and healthcare, particularly in advancing personalized diagnostics
  and therapeutics. This necessitates innovative strategies for effective i
 nformation management. Here, we explore the evolving landscape of Bioinfor
 matics and Computational Biology, reshaping data storage, management, and 
 access through advancements in High-Performance Computing (HPC) and Big Da
 ta. Our project aims to develop sustainable scientific gateways for bioinf
 ormatics by integrating HPC environments, scientific workflows, and artifi
 cial intelligence. The BioinfoPortal (https://bioinfo.lncc.br/) serves as 
 a multiuser infrastructure for bioinformatics applications, seamlessly con
 nected to the HPC infrastructure of Santos Dumont (SDumont, https://sdumon
 t.lncc.br/), the largest supercomputer in Latin America, boasting 5.1 Peta
 flops and 36,472 computational cores across 1,134 computational nodes. We 
 discuss challenges in executing applications efficiently and provide insig
 hts to enhance computational resource utilization, exploring large-scale b
 ioinformatics experiments for potential improvements. Currently, we are in
 tegrating artificial intelligence techniques to predict the optimal use of
  SDumont computational resources.\n\nDomain: Chemistry and Materials, Engi
 neering, Life Sciences, Computational Methods and Applied Mathematics\n\nS
 ession Chairs: John Anderson Garcia Henao (University of Bern, ARTORG Cent
 er for Biomedical Engineering Research) and Kary Ann del Carmen Ocaña Gaut
 herot (LNCC)
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