V-Lab-Protein: Virtual Collaborative Lab for protein sequence analysis

Jong Youl Choi, Youngik Yang, Sun Kim, Dennis Gannon
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引用次数: 8

Abstract

Recent development of genome and gene analysis technology enabled rapid accumulation of biological data. To utilize such huge data, a biologist needs to have resource-rich computing environment and user-friendly analysis tool invocation. To response such requirements, we designed and implemented a virtual lab, named Virtual Collaborative Lab (V-Lab-Protein), using an efficient and flexible computing resource management and workflow engine with a user-friendly graphical workflow composer. Utility of our system is demonstrated by analyzing sample protein sequence sets. This is the first system of its kind that combines flexible workflow systems and on-demand compute and data resources (Amazon EC2/S3 in this case). We believe that this system design principle will be a new and effective paradigm for small biology research labs to handle the ever-increasing biological data.
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V-Lab-Protein:蛋白质序列分析的虚拟协作实验室
近年来基因组和基因分析技术的发展使生物数据的积累迅速。为了利用如此庞大的数据,生物学家需要资源丰富的计算环境和用户友好的分析工具调用。为了满足这些需求,我们设计并实现了一个虚拟实验室,命名为虚拟协作实验室(V-Lab-Protein),使用高效灵活的计算资源管理和工作流引擎以及用户友好的图形工作流编写器。通过对样品蛋白质序列集的分析,证明了该系统的实用性。这是同类系统中第一个将灵活的工作流系统与按需计算和数据资源(本例中是Amazon EC2/S3)结合在一起的系统。我们相信,该系统设计原则将为小型生物学研究实验室处理日益增长的生物学数据提供一种新的有效范例。
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