The Chorus Project: A Sustainable Cloud Solution for Mass Spectrometry Data

Chorus 项目：质谱数据的可持续云解决方案

• 批准号: 9216498
• 负责人: Michael MacCoss
• 金额: $ 29.36万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9216498
• 关键词: Algorithms; Biological; Biological Assay; Biomedical Research; Cells; Cloud Computing; Communication; Communities; Computer software; Data; Data Collection; Data Files; Data Science; Data Set; Data Storage and Retrieval; Development; Dictionary; Disease; Educational workshop; Ensure; Foundations; Genes; Goals; Imagery; Individual; Laboratories; Laboratory Research; Maintenance; Manufacturer Name; Mass Spectrum Analysis; Medical; Metadata; Methods; Ontology; Operating System; Peptides; Performance; Phenotype; Problem Solving; Process; Production; Proteomics; Publishing; Research Infrastructure; Sampling; Science; Standardization; Stress Tests; System; Technology; Testing; Time; Training; Vendor; application programming interface; biomedical scientist; computer infrastructure; cost; cost effective; data access; data acquisition; data format; data integration; experimental study; improved; instrument; mass spectrometer; meetings; novel; novel strategies; repository; search engine; small molecule; tool; webinar

PROJECT SUMMARY/ABSTRACT The overarching goal of the Chorus project (http://chorusproject.org) is to advance biomedical research by extending our capabilities for the storage, dissemination, sharing, and analysis of the world's mass spectrometry data. To date, the mass spectrometry community has been storing their files in local “silos” within the respective research laboratory. Each lab currently builds their own computational infrastructure for the analysis of their data. This process is inefficient and redundant. Mechanisms for labs to share and analyze data in a collaborative manner are almost non-existent. Furthermore, neither the vendor data formats, nor the established repositories make it feasible or efficiently to perform analyses between experiments and laboratories. We have developed a cloud infrastructure that facilitates the efficient storage, sharing, and visualization of mass spectrometry data across vendor platforms. We intend to build on this foundation for enabling the community to build tools to access and analyze individual datasets or the collective data as a whole. By bringing data into a shared cloud infrastructure, we improve the analyses that are possible, minimize the challenges with sharing large datasets, and reduce the overall costs. We will improve the value of all mass spectrometry data through standardization of tools, improved data accessibility, increased sharing, more efficient data access, and better communication. 1

项目总结/摘要 合唱团项目（http：//www.example.com）的首要目标是通过以下方式推进生物医学研究：chorusproject.org 扩展我们的存储、传播、共享和分析世界质量的能力 光谱数据。到目前为止，质谱社区一直将他们的文件存储在本地“筒仓”中。 在各自的研究实验室。每个实验室目前都建立了自己的计算基础设施， 他们的数据分析。这一过程效率低下，而且重复。实验室共享机制， 以协作方式分析数据几乎不存在。此外，无论是供应商数据格式， 建立的储存库也不能使在实验之间进行分析变得可行或有效， laboratories.我们已经开发了一个云基础设施，可以促进高效的存储，共享， 跨供应商平台的质谱数据可视化。我们打算在这个基础上， 使社区能够构建工具来访问和分析单个数据集或集体数据， 整体通过将数据引入共享的云基础架构，我们可以改进可能的分析， 最大限度地减少共享大型数据集的挑战，并降低总体成本。我们将提高价值 通过工具标准化、提高数据可访问性、增加共享， 更有效的数据访问和更好的沟通。 1