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

机译:迈向生物信息学的科学门户:巴西高性能计算系统的经验

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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.
机译:科学网关将可重现的科学集成到可重用技术,数据和工作流管理系统,安全性机制以及高性能计算(HPC)中,从而带来了可能性。我们介绍了BioinfoPortal,这是一个科学网关,它使用HPC和巴西国家HPC系统(SINAPAD)提供的数据管理资源集成了一系列不同的生物信息学应用程序。 BioinfoPortal遵循软件即服务(SaaS)模型,该Web服务器可免费用于学术用途。本文的目的是描述科学网关及其用途,以解决为使用巴西HPC资源并行/分布式执行大规模生物信息学应用程序设计多用户计算平台的挑战。我们还对在HPC环境中执行的某些生物信息学应用程序的性能和可伸缩性进行了研究,并进行了机器学习分析,以预测HPC分配/使用的功能,从而可以更好地通过BioinfoPortal执行生物信息学应用程序。

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