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

Jong Youl Choi, Youngik Yang, Sun Kim, Dennis Gannon
{"title":"V-Lab-Protein: Virtual Collaborative Lab for protein sequence analysis","authors":"Jong Youl Choi, Youngik Yang, Sun Kim, Dennis Gannon","doi":"10.1109/BIBMW.2007.4425417","DOIUrl":null,"url":null,"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.","PeriodicalId":260286,"journal":{"name":"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBMW.2007.4425417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信