SBIR Phase I Topic 407 - Cloud-Based Software for the Cancer Research Data Commons.

SBIR 第一阶段主题 407 - 用于癌症研究数据共享的基于云的软件。

• 批准号: 10250983
• 负责人: LING-HONG HUNG
• 金额: $ 24.64万
• 依托单位: BIODEPOT LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-16 至 2021-06-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10250983
• 关键词: Address; Adoption; Big Data; Bioinformatics; Cloud Computing; Communities; Computational Technique; Computer software; Data; Data Commons; Databases; Development; Ensure; Evolution; Goals; Language; Malignant Neoplasms; Multiomic Data; Performance; Phase; Reproducibility; Reproducibility of Results; Research Personnel; Resources; Small Business Innovation Research Grant; Technology; analytical tool; anticancer research; cloud based; cloud platform; computational platform; learning materials; multiple omics; repository; tool; user-friendly; virtual

Cloud computing has emerged as a solution to address challenges of storing and analyzing big data. However, the technical complexity to provision and configure virtual servers is a major barrier to adoption of cloud technologies in cancer research. This complexity is exacerbated by the rapid evolution of new computational techniques, which raises addition difficulties in installation and reproducibility of results of analytical workflows. Consequently, even with the rapidly expanding quantity, accessibility, and utility of multi-omics data, cloud resources remain under-utilized in cancer research. There is a clear opportunity for a platform to deliver optimized analytical tools to the cancer community that integrate seamlessly with existing multi-omics databases and tools. To address this gap, we have developed the Biodepot-workflow-builder (Bwb), a user-friendly graphical platform for building and executing bioinformatics workflows in the cloud. The platform uses software containers to ensure reproducibility and facilitate installation and execution of workflows. Our goal is to use Bwb as a front-end to allow cancer researchers to easily access databases from the Cancer Research Data Commons (CRDC), and analyze CRDC data using customizable cloud-based workflows from a curated repository. In addition, we will also optimize performance of common cancer workflows by leveraging cloudbased serverless computing platforms.

云计算已经成为解决存储和分析大数据挑战的解决方案。然而，提供和配置虚拟服务器的技术复杂性是在癌症研究中采用云技术的主要障碍。这种复杂性因新技术的快速发展而加剧。 计算技术，这在分析工作流程的结果的安装和再现性方面增加了额外的困难。因此，即使多组学数据的数量、可访问性和实用性迅速扩大，云资源在癌症研究中仍然没有得到充分利用。一个平台有一个明确的机会，可以为癌症社区提供优化的分析工具，与现有的多组学数据库和工具无缝集成。 为了解决这一差距，我们开发了Biodepot-workflow-builder（BSTO），这是一个用户友好的图形平台，用于在云中构建和执行生物信息学工作流程。该平台使用软件容器来确保可重复性，并促进工作流程的安装和执行。我们的目标是利用 作为前端，使癌症研究人员能够轻松访问癌症研究数据共享（CRDC）中的数据库，并使用来自策展存储库的可定制的基于云的工作流分析CRDC数据。此外，我们还将通过利用基于云的无服务器计算平台来优化常见癌症工作流程的性能。