TOPP走得很快:OpenMS蛋白质组学管道在一个网格支持的Web门户

S. Gesing, Jano van Hemert, J. Koetsier, A. Bertsch, O. Kohlbacher
{"title":"TOPP走得很快:OpenMS蛋白质组学管道在一个网格支持的Web门户","authors":"S. Gesing, Jano van Hemert, J. Koetsier, A. Bertsch, O. Kohlbacher","doi":"10.1109/CCGRID.2010.39","DOIUrl":null,"url":null,"abstract":"Proteomics, the study of all the proteins contained in a particular sample, e.g., a cell, is a key technology in current biomedical research. The complexity and volume of proteomics data sets produced by mass spectrometric methods clearly suggests the use of grid-based high-performance computing for analysis. TOPP and OpenMS are open-source packages for proteomics data analysis, however, they do not provide support for Grid computing. In this work we present a portal interface for high-throughput data analysis with TOPP. The portal is based on Rapid, a tool for efficiently generating standardized port lets for a wide range of applications. The web-based interface allows the creation and editing of user-defined pipelines and their execution and monitoring on a Grid infrastructure. The portal also supports several file transfer protocols for data staging. It thus provides a simple and complete solution to high-throughput proteomics data analysis for inexperienced users through a convenient portal interface.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TOPP goes Rapid The OpenMS Proteomics Pipeline in a Grid-Enabled Web Portal\",\"authors\":\"S. Gesing, Jano van Hemert, J. Koetsier, A. Bertsch, O. Kohlbacher\",\"doi\":\"10.1109/CCGRID.2010.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proteomics, the study of all the proteins contained in a particular sample, e.g., a cell, is a key technology in current biomedical research. The complexity and volume of proteomics data sets produced by mass spectrometric methods clearly suggests the use of grid-based high-performance computing for analysis. TOPP and OpenMS are open-source packages for proteomics data analysis, however, they do not provide support for Grid computing. In this work we present a portal interface for high-throughput data analysis with TOPP. The portal is based on Rapid, a tool for efficiently generating standardized port lets for a wide range of applications. The web-based interface allows the creation and editing of user-defined pipelines and their execution and monitoring on a Grid infrastructure. The portal also supports several file transfer protocols for data staging. It thus provides a simple and complete solution to high-throughput proteomics data analysis for inexperienced users through a convenient portal interface.\",\"PeriodicalId\":444485,\"journal\":{\"name\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2010.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2010.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

蛋白质组学是对特定样品(如细胞)中包含的所有蛋白质的研究,是当前生物医学研究中的一项关键技术。质谱方法产生的蛋白质组学数据集的复杂性和体积清楚地表明使用基于网格的高性能计算进行分析。TOPP和OpenMS是用于蛋白质组学数据分析的开源软件包,但是它们不支持网格计算。在这项工作中,我们提出了一个使用TOPP进行高吞吐量数据分析的门户接口。该门户基于Rapid,这是一种有效地为各种应用程序生成标准化端口的工具。基于web的接口允许创建和编辑用户定义的管道,以及在网格基础设施上执行和监视管道。门户还支持用于数据暂存的几种文件传输协议。因此,它通过一个方便的门户界面为没有经验的用户提供了一个简单而完整的高通量蛋白质组学数据分析解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
TOPP goes Rapid The OpenMS Proteomics Pipeline in a Grid-Enabled Web Portal
Proteomics, the study of all the proteins contained in a particular sample, e.g., a cell, is a key technology in current biomedical research. The complexity and volume of proteomics data sets produced by mass spectrometric methods clearly suggests the use of grid-based high-performance computing for analysis. TOPP and OpenMS are open-source packages for proteomics data analysis, however, they do not provide support for Grid computing. In this work we present a portal interface for high-throughput data analysis with TOPP. The portal is based on Rapid, a tool for efficiently generating standardized port lets for a wide range of applications. The web-based interface allows the creation and editing of user-defined pipelines and their execution and monitoring on a Grid infrastructure. The portal also supports several file transfer protocols for data staging. It thus provides a simple and complete solution to high-throughput proteomics data analysis for inexperienced users through a convenient portal interface.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
In Search of Visualization Metaphors for PlanetLab Multi-criteria Content Adaptation Service Selection Broker Enabling the Next Generation of Scalable Clusters Development and Support of Platforms for Research into Rare Diseases Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1