课题基金 / 基金详情

CIBR: Collaborative Research: Providing sustainable Galaxy service on XSEDE resources

CIBR: Collaborative Research: Providing sustainable Galaxy service on XSEDE resources
CIBR:协作研究:在 XSEDE 资源上提供可持续的 Galaxy 服务
批准号:
1929694
负责人:
Anton Nekrutenko
金额:
$203.55万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-12-15 至 2023-11-30

项目摘要

项目成果

Anton Nekrutenko的其他基金

相似基金

相关文献

中文摘要
翻译
由于高通量测序和成像技术的激增,生物学已经成为事实上的数据驱动的学科。然而,对于大多数生物研究人员来说,充分利用这些技术进步的能力仍然落后。银河项目始于2005年,旨在创建一个系统,使没有信息学专业知识或本地计算资源的生物学家能够通过网络进行计算分析。位于德克萨斯州高级计算中心的主站点允许研究人员自由分析数据,并访问有关分析方法,假设和限制以及最佳实践的培训材料。Galaxy将GUI的可访问性与交互式环境提供的探索性分析的无限功能相结合。这种组合可以实现高质量的研究,并再次为定量和数据分析培训提供强大的启动平台。银河系统的公共实例有数万名注册用户使用,每月进行30万至50万次分析,并被7 000多份出版物引用。该提案旨在改变银河系统利用现有基础设施和采购更多基础设施的方式,使其在今后的发展中具有可持续性。实现这些目标的计划涉及两个主要重点领域:第一个目标是调整银河系统的结构,以利用分层存储。这将大大降低成本,并确保有效管理存储基础架构。在这一目标下,该团队将制定和实施现有数据管理战略,并利用现有的基于策略的系统来控制何时以及哪些数据在各层之间移动。第二个目标是设计和实现“高级存储”的功能。在这一目标范围内开展的工作将允许拥有现有XSEDE分配的用户“扩展”其存储。其他用户将能够通过直接支付来获得TACC系统上的额外Galaxy存储。这些更改将使Galaxy服务能够继续为所有用户提供基本级别的存储,同时支持一组灵活的选项,以根据需要扩展到该级别之外。有关银河系的更多信息,请访问https://galaxyproject.org/.This奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
英文摘要
Due to proliferation of high throughput sequencing and imaging techniques biology has become a de facto data-driven discipline. Yet the ability to take full advantage of these technological advances is still lagging for most biological researchers. The Galaxy Project started in 2005 to create a system enabling biologists without informatics expertise or local compute resources to perform computational analysis through the web. The main site located at the Texas Advanced Computing Center allows researchers to analyze data freely and access training materials on analytic approaches, their assumptions and limitations, and best practices. Galaxy combines the accessibility of GUI with infinite power of exploratory analyses provided by interactive environments. This combination empowers high quality research and, again, provides a robust launchpad for quantitative and data analysis training. The public instance of Galaxy is used by tens of thousands of registered users and performs between 300 to 500 thousands of analyses every month and has been cited in over 7,000 publications. This proposal aims at changing how Galaxy utilizes existing and procures additional infrastructure to put it on a sustainable footing going forward. The plan for achieving these goals involves two primary focal areas: The first objective is to adapt Galaxy architecture to take advantage of tiered storage. This will allow significantly reducing the cost and ensure effective management of storage infrastructure. Within this aim the team will develop and implement strategies for the management of existing data and leverage an existing policy-based system for controlling when and what data to move between tiers. The second objective is to design and implement functionality for "premium storage". The work undertaken within this aim will allow users with existing XSEDE allocations to "extend" their storage. Other users will be able to acquire additional Galaxy storage on TACC systems by paying for it directly. These changes will allow the Galaxy service to continue to provide a basic level of storage to all users while supporting a flexible set of options to scale beyond that level as needed. For more information about Galaxy visit the website at https://galaxyproject.org/.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Scalable, accessible and reproducible reference genome assembly and evaluation in Galaxy
Galaxy 中可扩展、可访问且可重复的参考基因组组装和评估
DOI: 10.1038/s41587-023-02100-3
发表时间: 2024
期刊: Nature Biotechnology
影响因子: 46.9
作者: [Larivière, Delphine, Abueg, Linelle, Brajuka, Nadolina, Gallardo-Alba, Cristóbal, Grüning, Bjorn, Ko, Byung June, Ostrovsky, Alex, Palmada-Flores, Marc, Pickett, Brandon D., Rabbani, Keon]
通讯作者: Rabbani, Keon
Rapid: Collaborative Research: Agile and effective responses to emerging pathogen threats through open data and open analytics
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)
Cyberinfrastructure for Accessible and Reproducible Research in Life Sciences
海外基金