工作流引擎在BRIN高性能计算基础架构上的实现

Ihsan Nugraha, Inna Syafarina, I. Cartealy, Anis Hayati, Maulida Mazaya, S. Iryanto
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引用次数: 0

摘要

国家研究与创新局(BRIN)——印度尼西亚,拥有高性能计算(HPC)设施,以支持需要高计算资源的研究和创新。研究领域的一个例子是生物信息学。随着测序技术的进步,任何具有下一代测序(NGS)访问权限的实验室都可以在很短的时间内生成大量数据。然而,困难已经转移到接下来的数据分析步骤。它通常需要大量的计算资源,许多需要链接在一起的特定工具,以及熟悉命令行语法的人力资源。此外,将多个工具链接到一个全面的工作流程中也很困难,因为人们需要了解与他们试图回答的问题相关的计算机系统管理和生物信息。这些都阻碍了生物学家利用测序技术进行研究。在这份技术报告中,我们描述了我们整合Galaxy和BRIN HPC的方法,以方便用户在BRIN HPC设施上部署他们的分析工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Workflow Engine on BRIN HPC Infrastructure
National Research and Innovation Agency (BRIN)- Indonesia, hosts high performance computing (HPC) facilities to support research and innovation that need high computation resources. One example of a research area is bioinformatics. As sequencing technology advances, any lab with next generation sequencing (NGS) access can generate a huge amount of data in a very short time. However, the difficulties then have shifted to the data analysis step that follows. It usually requires significant computation resources, many specific tools that need to be chained together, and man resources that are familiar with command line syntax. In addition, the chaining of multiple tools into a comprehensive workflow is also difficult since one needs to understand both the computer system administration and biological information related to the problems they try to answer. These hinder the biologist to take advantage of sequencing technology for their research. In this technical report, we described our approaches to integrate Galaxy and BRIN HPC, to ease users to deploy their analysis workflow on BRIN HPC facility.
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