An Integrative and Collaborative Genomic Data Analysis Service with Galaxy

项目摘要 Galaxy Core LLC的目标是为执行企业级任务开发强大、可扩展的托管服务 生物医学数据分析。该服务将基于广受欢迎的开源Galaxy应用程序 (https://galaxyproject.org/​​)，提供托管数据存储和计算资源， 用于分析生物医学数据的灵活、协作的环境。该服务将作为一组 为执行数据的研究团队设置和管理专用计算机的私有环境 分析。生物医学科学中的数据生成分析和分析工具继续快速发展和 固定的一键式数据分析方法非常具有挑战性，因为分析必须快速适应新的 数据的方法和类型。这一环境需要相当庞大且不断增长的容量 数据分析可以很容易地为领域量身定做，并与一系列外部资源集成。 Galaxy凭借其可访问的网络界面和全球社区，处于独特的地位来适应这一点 变化的格局，因为它提供了对&gt；6,500个同类最佳分析工具和&gt；100数据类型的访问。这些 任何类似的解决方案都无法与数字匹配，但将工具和数据类型添加到 银河生态系统继续增加。然而，建立、维护和发展的挑战 所需数据分析环境为生物医学数据分析提供了障碍，特别是对于较小的 公司和实验室。该项目的目标是简化设置和管理 生产质量的Galaxy实例，并将其作为可扩展、托管、始终在线的服务提供。宽广和 一个强大的生物医学数据分析平台的简单可用性将从根本上改善对 生物医学数据分析能力，并促进研究实验室和小企业的常规分析。

Project Summary Galactic Core LLC aims to develop a robust, scalable, and managed service for performing enterprise-grade biomedical data analysis. The service will be based on the popular open-source Galaxy application (​https://galaxyproject.org/​), offering managed data storage and compute resources with an extremely powerful, flexible, and collaborative environment for analyzing biomedical data. The service will be run as a set of private environments with dedicated computers being setup and managed for research teams performing data analysis. Data generation assays and analysis tools in the Biomedical Sciences continue to evolve rapidly and fixed 1-click approach to data analysis is very challenging as the analysis must be quickly adapted to new methods and types of data. This landscape requires a proportionally vast and growing amount of capacity for data analysis that can be readily tailored to the domain and integrates with an array of external resources. Galaxy with its accessible web-interface and a worldwide community is uniquely positioned to adapt to this changing landscape as it provides access to >6,500 best-of-breed analysis tools and >100 data types. These numbers are unmatched by any similar solution, yet the rate at which tools and data types are added into the Galaxy ecosystem continues to increase. However, the challenges with setting up, maintaining, and evolving the necessary data analysis environment present an obstacle for biomedical data analysis, particularly for small firms and laboratories. The goal of this project is to streamline the process of setting up and managing a production-quality instance of Galaxy and deliver it as a scalable, managed, always-on service. Broad and simple availability of a powerful biomedical data analysis platform would fundamentally improve access to biomedical data analysis capacity and facilitate routine analyses by research labs and small businesses.