Avaliação de Desempenho de um Workflow Científico para Experimentos de RNA-Seq no Supercomputador Santos Dumont

• Lucas Cruz LNCC
• Micaella Coelho LNCC
• Luiz Gadelha LNCC
• Kary Ocaña LNCC
• Carla Osthoff LNCC

DOI: https://doi.org/10.5753/wscad_estendido.2020.14093

Abstract

Large-scale scientific experiments are considered complex due to moIn bioinformatics deling of their activities, execution and big data analyses. these experiments are modeling as scientific workflows using the High Performance Computing and data science concepts. This research paper presents the ParslRNA-Seq workflow for RNA-Seq experiments and analyses of performance execution on the Santos Dumont supercomputer using real data. The results show an improvement on performance, by comparing to execution on traditional way without parallelization and via Web, from 3 days to 11 hours, with reproducibility of biological results, by comparing ParslRNA-Seq to tradicional or Web application execution. The workflow multithreading execution also indicates that the parametrization is dependent on Parsl and bowtie use.

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