基于网格的生物信息学应用于CBBC的比较基因组分析

A. Hunter, D. Schibeci, H. L. Hiew, M. Bellgard
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引用次数: 3

摘要

只提供摘要形式。生物信息学是网格计算的一个重要应用领域。解决当前生物信息学挑战所需的网格计算问题包括处理能力、大规模数据访问和管理、安全性、应用程序集成、数据完整性和管理、工作流控制/自动化/跟踪、数据格式一致性和资源发现。在这张海报中,我们描述了开发网格环境以推进生物信息学研究的初步步骤。我们开发了一个名为Grendel的系统,目的是为生物信息学研究人员提供透明的访问他们研究中使用的基本计算资源的途径。Grendel是一个独立于平台和语言的基于web服务的分布式资源管理系统,它利用Sun Grid引擎为计算任务提供了一个单一的入口点,同时保持实际资源对用户透明。Grendel是用Java开发的,并使用Tomcat进行部署。用Perl和Java开发了客户端库,以提供对通过Grendel导出的计算资源的访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GRID-enabled bioinformatics applications for comparative genomic analysis at the CBBC
Summary form only given. Bioinformatics is an important application area for grid computing. The grid computing issues required to tackle current bioinformatics challenges include processing power, large-scale data access and management, security, application integration, data integrity and curation, control/automation/tracking of workflows, data format consistency and resource discovery. In this poster, we describe preliminary steps taken to develop a grid environment to advance bioinformatics research. We developed a system called Grendel, with the aims of providing bioinformatics researchers transparent access to basic computational resources used in their research. Grendel is a platform and language independent Web-services based system for distributed resource management utilising Sun Grid Engine that provides a single entry point for computational tasks while keeping the actual resources transparent to the user. Grendel is developed in Java and deployed using the Tomcat. Client libraries have been developed in Perl and Java to provide access to computation resource exported via Grendel.
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