首页> 外文会议>High Performance Computing for Computational Science - VECPAR 2006; Lecture Notes in Computer Science; 4395 >BioPortal: A Portal for Deployment of Bioinformatics Applications on Cluster and Grid Environments
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BioPortal: A Portal for Deployment of Bioinformatics Applications on Cluster and Grid Environments

机译:BioPortal:在集群和网格环境中部署生物信息学应用程序的门户

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摘要

Over last few years, interest on biotechnology has increased dramatically. With the completion of sequencing of the human genome, such interest is likely to expand even more rapidly. The size of genetic information database doubles every 14 months, overwhelming explosion of information in related bioscience disciplines and consequently, overtaxing any existing computational tool for data analysis. There is a persistent and continuous search for new alternatives or new technologies, all with the common goal of improving overall computational performance. Grid infrastructures are characterized by interconnecting a number of heterogeneous hosts through the internet, by enabling large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. In this research paper, we present BioPortal, a user friendly and web-based GUI that eases the deployment of well-known bioinformatics applications on large-scale cluster and grid computing environments. The major motivation of this research is to enable biologists and geneticists, as also biology students and investigators, to access to high performance computing without specific technical knowledge of the means in which are handled by these computing environments and no less important, without introducing any additional drawback, in order to accelerate their experimental and sequence data analysis. As result, we could demonstrate the viability of such design and implementation, involving solely freely available softwares.
机译:在过去的几年中,对生物技术的兴趣急剧增加。随着人类基因组测序的完成,这种兴趣可能会更快地扩大。遗传信息数据库的大小每14个月翻一番,从而压倒了相关生物科学学科信息的爆炸式增长,因此,使任何现有的用于数据分析的计算工具负担过重。人们一直在不断寻找新的替代方案或新技术,所有这些共同目标都是提高整体计算性能。网格基础设施的特点是通过Internet互连大量异构主机,实现跨机构边界的大规模聚合以及计算,数据和其他资源的共享。在本研究论文中,我们介绍了BioPortal,这是一种基于Web的用户友好界面GUI,可简化在大型集群和网格计算环境中部署知名的生物信息学应用程序。这项研究的主要动机是使生物学家和遗传学家以及生物学专业的学生和研究者能够获得高性能的计算,而无需对这些计算环境所使用的方法有特定的技术知识,同样重要的是,无需引入任何其他方法缺点,以加速其实验和序列数据分析。结果,我们可以证明这种设计和实施的可行性,其中包括完全免费提供的软件。

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