Scalable Molecular Pipelines for FAIR and Reusable BICAN Molecular Data

用于公平和可重复使用的 BICAN 分子数据的可扩展分子管道

• 批准号: 10686157
• 负责人: Jesse Gillis
• 金额: $ 171.85万
• 依托单位: BROAD INSTITUTE, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10686157
• 关键词: Agreement; Archives; Atlases; BRAIN initiative; Biological Assay; Brain; Cells; Charge; Cloud Computing; Collaborations; Communities; Community Networks; Computer software; Data; Data Analyses; Data Set; Development; Documentation; Ecosystem; Educational workshop; Elasticity; Engineering; Environment; FAIR principles; Funding; Generations; Infrastructure; Institution; Joints; Libraries; Measurement; Measures; Molecular; Output; Process; Publications; Publishing; Quality Control; Reproducibility; Resources; Running; Update; Visualization; Visualization software; Work; cell type; cloud based; computerized data processing; cost; data analysis pipeline; data standards; improved; interoperability; member; programs; tool; usability; working group

PROJECT SUMMARY This project will create scalable resources that will be critical to the development of BRAIN Initiative Cell Atlas Network (BICAN) consortium brain atlases. This team will focus on the development of common molecular data processing pipelines that are cloud-native and FAIR. Starting with an already established portfolio of BICCN pipelines and community relationships developed in previous funding, this portfolio will be updated and extended in collaboration with the BICAN community. Leveraging and improving existing integration between the BICCN molecular (NeMO) archive and cloud-computing environment (Terra), this team will process data sets, prioritized by the BICAN community and in support of joint analysis for atlas building. These pipelines will produce data with a comprehensive panel of metrics that our team will leverage to perform quality control and assure rigor in data processing and use. This team will work with analysis groups to confirm outputs of the pipelines are compatible with downstream analysis and are extended to incorporate critical downstream steps as they mature and are agreed upon by the BICAN community. The cloud computing environment used by this team will be open and available to the BICAN community and supported by a helpdesk, documentation, forums, and an annual workshop. As this infrastructure spans institutes, Terra is currently enabling BICCN working groups to share cloud resources and jointly analyze data in a common scalable space; this will continue to be true in the BICAN community. To enable visualizing, sharing and publishing of data, this team brings cloud programming environments (Terra), specialized scalable resources (Cirrocumulus, Pegasus), and publication portals (NeMO Analytics, and the Single Cell Portal) to be leveraged in consortium activities. These common resources will be critical to enable the BICAN community to come together and perform analysis that scales to the needs of BICAN atlas building efforts.

项目概要 该项目将创建可扩展的资源，这对于 BRAIN Initiative Cell Atlas 的开发至关重要 网络（BICAN）联盟脑图谱。该团队将专注于常见分子的开发 云原生且公平的数据处理管道。从已经建立的投资组合开始 BICCN 管道和社区关系在之前的融资中得到了发展，该投资组合将得到更新并 与 BICAN 社区合作扩展。利用和改进现有的集成 BICCN分子（NeMO）档案和云计算环境（Terra），该团队将处理数据 集，由 BICAN 社区优先考虑，并支持图集构建的联合分析。这些管道将 生成具有全面指标的数据，我们的团队将利用这些数据来执行质量控制和 确保数据处理和使用的严谨性。该团队将与分析小组合作，确认项目的输出 管道与下游分析兼容，并经过扩展以纳入关键的下游步骤 随着它们的成熟并得到 BICAN 社区的认可。本次使用的云计算环境 团队将对 BICAN 社区开放并可用，并得到帮助台、文档、 论坛和年度研讨会。由于该基础设施跨越多个机构，Terra 目前正在启用 BICCN 工作组共享云资源并在公共可扩展空间中共同分析数据；这将 在 BICAN 社区中继续保持真实。为了实现数据的可视化、共享和发布，该团队 带来了云编程环境（Terra）、专门的可扩展资源（Cirrocumulus、Pegasus）以及 在联盟活动中利用的出版物门户（NeMO Analytics 和 Single Cell Portal）。这些 公共资源对于使 BICAN 社区能够聚集在一起并进行分析至关重要 可以根据 BICAN 图集构建工作的需要进行扩展。