Synergy Core (SynC)

协同核心（SyncC）

• 批准号: 10493704
• 负责人: Eric Otto Johnson
• 金额: $ 51.38万
• 依托单位: RESEARCH TRIANGLE INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10493704
• 关键词: Address; Animal Model; Biological; Cloud Computing; Collaborations; Communities; Community Integration; Community Services; Data; Data Analyses; Data Set; Data Storage and Retrieval; Development; Doctor of Philosophy; Documentation; Ensure; Environment; Epidemiology; Equation; Gene Targeting; Genetic; Genomics; High Performance Computing; Human; Image; Individual; Infrastructure; Ingestion; International; Intuition; Laboratories; Linkage Disequilibrium; Meta-Analysis; Metadata; Methods; Mission; Multiomic Data; Neurobiology; Online Systems; Opiate Addiction; Performance; Phenotype; Population; Population Heterogeneity; Principal Investigator; Procedures; Quality Control; Research; Research Personnel; Resolution; Resource Informatics; Resources; Sampling; Secure; Source; Standardization; Structure; Study models; Sum; Supercomputing; Techniques; Technology; Testing; Variant; addiction; analysis pipeline; base; computerized data processing; cost effective; data ingestion; data pipeline; data portal; data sharing; data sharing networks; data visualization; experimental study; follow-up; gene network; genome wide association study; human data; human model; improved; member; online resource; power analysis; repository; statistics; synergism; tool; user-friendly; web portal; working group

PROJECT SUMMARY/ABSTRACT The Synergy Core (SynC) will support the overall mission of the Integrative Omics Center for Accelerating Neurobiological Understanding of Opioid Addiction (ICAN) to discover and share biological drivers of opioid addiction (OA) by coordinating a unified and rigorous approach to analyses across ICAN, providing highly advanced computing infrastructure for ICAN analyses, combining external OA data with ICAN data, and creating a unique national resource that shares data and results from ICAN analyses with the research community via a user friendly web-based data portal, mapOA. Each ICAN Project will provide important stand- alone discoveries but combining and integrating across Projects will enhance statistical power through meta- analyses, illuminate the potential function of statistical associations (for example, mapping significant loci to functional gene targets), provide a biologically integrated interpretation through the harmonization of human studies and animal model studies, and ultimately generate and test hypotheses about putative mechanisms. For ICAN and the field to leap forward in understanding the individual biological variation that leads to OA, omics integration is key. The SynC will provide cross-project and research community integration that facilitates scientific synergy by accomplishing the following Specific Aims: (1) align ICAN analyses with milestones set by the Center Steering Committee and coordinate development of analytic techniques, standards, procedures, and documentation; (2) establish and maintain a centralized high-performance computing environment and standardized pipelines for data ingestion and omics analyses; (3) ingest and standardize external OA datasets and conduct integrative analyses across ICAN and external data; and (4) develop a user-friendly web-based resource, mapOA, for sharing of integrated OA omics and imaging data within ICAN and with the broader research community. Achieving the SynC aims will dramatically increase synergistic integration of ICAN Projects by providing investigators and the research community with mapOA for easy access to robustly QC’ed and harmonized results from all projects and ingested publicly available data; providing a standardized HPC environment and pipelines; and conducting integrative analyses beyond those in individual Projects. The SynC is key to making ICAN more than the sum of its individual Projects. The SynC team is co-led by Multiple Principal Investigators Eric Otto Johnson, PhD, and Nathan Gaddis, PhD, who bring expertise in multisite consortia coordination; addiction research; epidemiology; high performance cloud computing infrastructure; pipeline and workflow development; data structuring, integration, and processing; omics data analysis in diverse populations; and data visualization. They are supported by a broad team of statisticians, bioinformaticists, and developers. Together, they will ensure that SynC maximizes the impact of ICAN research into the biological drivers of OA.

项目摘要/摘要 Synergy Core(SYNC)将支持一体化Omics Center for Acceleration的总体使命 对阿片成瘾的神经生物学理解(ICAN)以发现和分享阿片成瘾的生物驱动因素 通过协调整个ICAN的统一和严格的分析方法，提供高度的 用于ICAN分析的高级计算基础设施，将外部办公自动化数据与ICAN数据相结合，以及 创建唯一的国家资源，与研究共享ICAN分析的数据和结果 通过一个用户友好的基于网络的数据门户网站mapOA实现社区。每个ICAN项目都将提供重要的支持- 单独的发现，但跨项目的组合和集成将通过元数据增强统计能力 分析、说明统计关联的潜在功能(例如，将重要基因座映射到 功能基因靶点)，通过协调人类 研究和动物模型研究，并最终产生和测试关于假定机制的假设。 对于ICAN和该领域来说，要在理解导致OA的个体生物变异方面取得飞跃， 组学整合是关键。同步将提供跨项目和研究社区集成， 通过实现以下具体目标促进科学协同： (1)使ICAN分析与中心指导委员会设定的里程碑保持一致，并协调 开发分析技术、标准、程序和文件；(2)建立和维护 集中式高性能计算环境和用于数据接收和组学的标准化管道 分析；(3)吸收和标准化外部OA数据集，并在ICAN和 外部数据；和(4)开发一个方便用户的网上资源--mapOA，用于共享综合的办公自动化组学 以及ICAN内部和更广泛的研究社区之间的图像数据。 实现同步目标将极大地增加ICAN项目的协同集成，通过提供 调查人员和研究社区使用mapOA轻松访问强大的质量控制和协调 来自所有项目的结果和可公开获取的数据；提供标准化的高性能计算环境和 管道；以及在个别项目之外进行综合分析。同步是成功的关键 ICA可以比其单个项目的总和更多。SYNC团队由多名首席调查员共同领导 埃里克·奥托·约翰逊博士和内森·加迪斯博士，他们带来了多站点财团协调方面的专业知识； 成瘾研究；流行病学；高性能云计算基础设施；管道和工作流程 开发；数据结构、整合和处理；不同人群中的组学数据分析；以及 数据可视化。他们得到了由统计学家、生物信息学家和开发人员组成的广泛团队的支持。 他们将共同确保SYNC最大限度地发挥ICAN对OA的生物驱动因素的研究的影响。