Democratization of Data Analysis in Life Sciences Through Galaxy
Democratization of Data Analysis in Life Sciences Through Galaxy
批准号:
10356796
负责人:
ANTON NEKRUTENKO
金额:
$186.54万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
未结题
起止时间:
2012-02-19 至 2026-01-31
关键词:
AdministratorAdoptedAreaBeesBiologicalBiological SciencesBiologyCollaborationsCollectionCommunitiesComplexComputer AnalysisComputer softwareDataData AnalysesData ScienceData SetDevelopmentEducation and OutreachEducational workshopEngineeringGalaxyGenomicsGoalsGrowthHumanInfrastructureLeadLeadershipMethodsModernizationResearchResearch PersonnelResearch TrainingSamplingSecuritySystemTechnologyTrainingWorkdesignopen sourcerapid growthskillstool
中文摘要
项目摘要
十多年来,银河项目(https://galaxyproject.org/)一直致力于解决银河系的关键问题。
现代数据密集型生物学-研究人员能够获得尖端的分析方法,
分析结果透明,并精确再现复杂的计算分析。星系有
成为生物数据科学最大和最广泛使用的开源平台之一。促进
从技术决策到培训和领导,该项目的各个方面都是开放和合作的,
使我们能够建立一个充满活力的用户社区,开发人员,系统工程师和教育工作者,
不断贡献新的软件功能,添加最新的工具,采用最现代的基础设施,
编写培训材料,领导研究和培训讲习班。基因组学研究一直在
不断发展,当前的挑战包括新数据集的规模和复杂性的快速增长,
增加人类基因组成分的受控访问数据集的可用性,
能够产生高通量数据的研究领域的广度的扩展。核心星系
提交本提案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:
- 使用软件容器技术的可扩展性和安全性的Rearchitect Galaxy
- 设计新的用户界面(UI),用于使用数千种工具、工作流和示例;
- 在银河系统中进行交互式探索性数据分析;
- 促进社区发展和支持;
- 开展有效的培训和外联活动。
集中注意这些广泛的优先事项将使我们能够实现银河项目的最终目标:
开发一种数据分析媒介,将各种技能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,
使用最新工具和数据的平台。对于工具开发人员,它将提供一个社区支持的
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,
提供一个框架,让他们在任何基础设施上都能轻松部署。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集合,以及提供
为不同规模的受众举办互动式实践培训讲习班。
英文摘要
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.
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海外基金