An Integrative and Collaborative Genomic Data Analysis Service with Galaxy

项目摘要 Galactic Core LLC旨在开发一种强大的、可扩展的托管服务， 生物医学数据分析该服务将基于流行的开源Galaxy应用程序 （https://galaxyproject.org/），提供托管的数据存储和计算资源， 灵活的协作环境，用于分析生物医学数据。服务将作为一组 为研究团队设置和管理专用计算机的私有环境，以执行数据 分析.生物医学科学中的数据生成测定和分析工具继续快速发展， 固定的一键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。这种情况需要相应的巨大且不断增长的容量， 数据分析，可以很容易地定制到域，并与一系列外部资源集成。 银河凭借其可访问的网络界面和一个全球性的社区，在适应这一点方面具有独特的优势。 不断变化的格局，因为它提供了对超过6，500种最佳分析工具和超过100种数据类型的访问。这些 任何类似的解决方案都无法比拟，但工具和数据类型添加到 银河系生态系统继续增加。然而，建立、维护和发展的挑战 必要数据分析环境对生物医学数据分析，特别是对小型 公司和实验室。该项目的目标是简化建立和管理 生产质量的Galaxy实例，并将其作为可扩展、可管理、始终在线的服务提供。广泛和 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获得 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.