Democratization of Data Analysis in Life Sciences Through Galaxy

通过 Galaxy 实现生命科学数据分析的民主化

• 批准号: 10576907
• 负责人: ANTON NEKRUTENKO
• 金额: $ 186.39万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-19 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10576907
• 关键词: Acute; Address; Administrator; Adopted; Area; Biological; Biological Sciences; Biology; Cells; Collaborations; Collection; Communities; Complement; Complex; Complex Analysis; Computer Analysis; Computer software; Custom; Data; Data Analyses; Data Science; Data Security; Data Set; Decision Making; Democracy; Development; Dimensions; Documentation; Education and Outreach; Educational workshop; Engineering; Environment; Experimental Designs; Exposure to; Galaxy; Genomics; Goals; Growth; Human; Infrastructure; Lead; Leadership; Maintenance; Manuscripts; Methods; Modeling; Modernization; Process; Provider; Publications; Research; Research Personnel; Running; Sampling; Security; System; Technology; Time; Training; Work; computerized data processing; data access; data exploration; data integration; data modeling; design; dissemination strategy; editorial; expectation; experience; experimental study; genomic data; large datasets; large scale data; multiple omics; open source; privacy protection; rapid growth; skills; success; tool; tool development; trend analysis; web portal

Project Summary For over a decade, the Galaxy Project (https://galaxyproject.org/) has worked to solve key issues plaguing modern data intensive biology -- the ability of researchers to access cutting-edge analysis methods, to share analysis results transparently, and to precisely reproduce complex computational analyses. Galaxy has become one of the largest and most widely used open source platforms for biological data science. Promoting openness and collaboration in all facets of the project, from technical decisions to training and leadership, has enabled us to build a vibrant community of users, developers, system engineers, and educators who continuously contribute new software features, add the latest tools, adopt to the most modern infrastructure, author training materials, and lead research and training workshops. Genomics research is continuously evolving, and current challenges include the rapid growth in size and complexity of new datasets, the increasing availability of controlled-access datasets with human genomic components, and the continuing expansion in the breadth of research areas capable of generating high throughput data. The core Galaxy development team submitting this proposal will respond to these challenges by focusing on the following key priorities: - Rearchitect Galaxy for scalability and security using software container technologies; - Design new user interface (UI) for working with thousands of tools, workflows, and samples; - Enable interactive exploratory data analysis in Galaxy; - Facilitate community growth and support; - Enable effective training and outreach. Concentrating on these broad priorities will allow us to achieve the ultimate goal of the Galaxy Project: developing a data analysis medium connecting biomedical experts across the full spectrum of skill sets, scientific domains, and research practices. For biomedical researchers it will provide a powerful analysis platform populated with the latest tools and data. For tool developers it will provide a community-supported mechanism for deploying tools before a wide audience of users. For system administrators and engineers it will provide a framework they will feel comfortable deploying on any infrastructure. For educators it will provide a comprehensive collection of materials covering most data analysis needs and an infrastructure for delivering interactive, hands-on training workshops for audiences of different sizes.

项目摘要 十多年来，银河计划(https://galaxyproject.org/))一直致力于解决困扰人类的关键问题 现代数据密集型生物学--研究人员获取尖端分析方法、分享 分析结果透明，并精确地再现复杂的计算分析。银河系有 成为最大、使用最广泛的生物数据科学开源平台之一。推广 在项目的所有方面，从技术决策到培训和领导，都有开放和合作 使我们能够建立一个由用户、开发人员、系统工程师和教育工作者组成的充满活力的社区 不断提供新的软件功能，添加最新的工具，采用最现代化的基础设施， 编写培训材料，并领导研究和培训研讨会。基因组学研究正在持续进行 不断发展的当前挑战包括新数据集的大小和复杂性的快速增长， 增加具有人类基因组成分的受控访问数据集的可用性，并继续 扩大能够产生高通量数据的研究领域的广度。核心银河系 提交此建议的开发团队将通过关注以下关键问题来应对这些挑战 优先事项： -使用软件容器技术重新设计Galaxy以实现可伸缩性和安全性； -设计用于处理数千种工具、工作流程和示例的新用户界面(UI)； -在银河系统中启用交互式探索性数据分析； -促进社区发展和支持； -实现有效的培训和外联。 专注于这些广泛的优先事项将使我们能够实现银河计划的最终目标： 开发一种数据分析媒介，将各种技能组合中的生物医学专家联系起来， 科学领域和研究实践。对于生物医学研究人员来说，它将提供一个强有力的分析 平台上填充了最新的工具和数据。对于工具开发人员，它将提供一个由社区支持的 在广大用户面前部署工具的机制。对于系统管理员和工程师来说，它将 提供一个让他们放心地在任何基础设施上部署的框架。对于教育工作者来说，它将提供一个 涵盖大多数数据分析需求的全面材料收集和交付的基础设施 为不同规模的观众举办互动式动手培训研讨会。