课题基金 / 基金详情

Cyberinfrastructure for Accessible and Reproducible Research in Life Sciences

Cyberinfrastructure for Accessible and Reproducible Research in Life Sciences
用于生命科学研究可访问和可重复的网络基础设施
批准号:
0850103
负责人:
Anton Nekrutenko
金额:
$111.85万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2014-12-31

项目摘要

项目成果

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中文摘要
翻译
宾夕法尼亚州立大学大学公园获得了一笔拨款,用于扩展现有的软件系统Galaxy (http://galaxyproject.org),该系统集成了计算生物学工具,供实验生物学家访问序列、多态性和功能数据集。需要增强的分析功能包括一组工具,允许工作台科学家在不离开web浏览器的情况下执行全基因组多重比对的大规模分析;交互式统计遗传学工具包,用于综合分析高通量基因分型实验产生的数据;用于检测选择、重组和其他关键进化参数的进化分析工具集,可直接应用于现有的序列和比对数据集;通过实现简单而强大的分析工作流程,可以通过示例和明确地构建,从而提高生命科学研究的可重复性。该项目是由布里格姆妇女医院、埃默里大学和加州大学圣地亚哥分校合作完成的。Galaxy在计算工具和用户之间架起了一座至关重要的桥梁,它使现有工具的接口现代化变得微不足道,使新工具的开发人员不必从头开始开发接口,并通过无缝集成各种工具和数据库促进工具互操作性和复杂分析。Galaxy有两个蓬勃发展的用户社区:那些使用公共Galaxy实例访问各种工具和数据库的用户只需要一个web浏览器,而那些利用Galaxy框架的用户?s的可移植性和最小的安装要求,以创建自己的Galaxy实例,并提供方便地访问本地开发的工具和私有数据。
英文摘要
Pennsylvania State University University Park is awarded a grant to extend an existing software system, Galaxy (http://galaxyproject.org) that integrates computational biology tools for experimental biologists to access sequence, polymorphism and functional datasets. Analytic functions to be enhanced include a set of tools allowing bench scientists to perform large-scale analyses with whole-genome multiple alignments without ever leaving their web browsers; an interactive statistical genetics tool kit for comprehensive analysis of data generated from high-throughput genotyping experiments; an evolutionary analysis toolset for detection of selection, recombination and other critical evolutionary parameters, that can be applied directly to existing sequence and alignment datasets; and novel approaches for improving reproducibility of research in life sciences by implementing simple yet powerful analysis workflows that can be constructed by example and explicitly. The project is a collaborative effort with Brigham and Women's Hospital, Emory University, and University of California, San Diego.Galaxy bridges a critically important gap between computational tools and users, by making it trivial to modernize the interfaces of existing tools, freeing developers of new tools from the need to develop interfaces from scratch, and facilitating tool interoperability and complex analyses by seamlessly integrating diverse tools and databases. Galaxy has two thriving communities of users: those who use the public Galaxy instance to access a variety of tools and databases with nothing more than a web browser, and those who take advantage of Galaxy framework?s portability and minimal installation requirements to create their own Galaxy instances and provide easy access to locally developed tools and private data.
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会议论文
Rapid: Collaborative Research: Agile and effective responses to emerging pathogen threats through open data and open analytics
CIBR: Collaborative Research: Providing sustainable Galaxy service on XSEDE resources
ABI Development: Leveraging NSF-funded national cyberinfrastructure to spearhead biological discovery with Galaxy
Collaborative Research: CC-NIE Integration: Developing Applications with Networking Capabilities via End-to-End SDN (DANCES)
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