Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing

Kary Ann del Carmen Ocaña Gautherot, Marcelo Galheigo, Carla Osthoff, Luiz M. R. Gadelha, A. A. Gomes, Daniel de Oliveira, F. Porto, A. T. Vasconcelos
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引用次数: 4

Abstract

Science gateways bring out the possibility of reproducible science as they are integrated into reusable techniques, data and workflow management systems, security mechanisms, and high performance computing (HPC). We introduce BioinfoPortal, a science gateway that integrates a suite of different bioinformatics applications using HPC and data management resources provided by the Brazilian National HPC System (SINAPAD). BioinfoPortal follows the Software as a Service (SaaS) model and the web server is freely available for academic use. The goal of this paper is to describe the science gateway and its usage, addressing challenges of designing a multiuser computational platform for parallel/distributed executions of large-scale bioinformatics applications using the Brazilian HPC resources. We also present a study of performance and scalability of some bioinformatics applications executed in the HPC environments and perform machine learning analyses for predicting features for the HPC allocation/usage that could better perform the bioinformatics applications via BioinfoPortal
迈向生物信息学的科学门户:巴西高性能计算系统的经验
科学网关带来了可复制科学的可能性,因为它们被集成到可重用的技术、数据和工作流管理系统、安全机制和高性能计算(HPC)中。我们介绍BioinfoPortal,这是一个科学门户,它集成了一套不同的生物信息学应用程序,使用HPC和巴西国家HPC系统(SINAPAD)提供的数据管理资源。BioinfoPortal采用软件即服务(SaaS)模式,网络服务器免费供学术使用。本文的目标是描述科学网关及其使用,解决设计一个多用户计算平台的挑战,使用巴西HPC资源并行/分布式执行大规模生物信息学应用程序。我们还研究了在HPC环境中执行的一些生物信息学应用程序的性能和可扩展性,并进行了机器学习分析,以预测HPC分配/使用的特征,这些特征可以更好地通过BioinfoPortal执行生物信息学应用程序
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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