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.

项目概要/摘要 Synergy Core (SynC) 将支持综合组学中心加速的总体使命 阿片类药物成瘾的神经生物学理解 (ICAN) 旨在发现和分享阿片类药物的生物驱动因素 通过在整个 ICAN 内协调统一且严格的分析方法来消除成瘾 (OA)，提供高度 用于 ICAN 分析的先进计算基础设施，将外部 OA 数据与 ICAN 数据相结合，以及 创建一个独特的国家资源，与研究共享 ICAN 分析的数据和结果 每个 ICAN 项目都将通过用户友好的基于网络的数据门户 mapOA 提供重要的支持。 单独的发现，但跨项目的组合和整合将通过元数据增强统计能力 分析，阐明统计关联的潜在功能（例如，将重要位点映射到 功能基因目标），通过人类基因的协调提供生物学上的整合解释 研究和动物模型研究，并最终产生并测试有关假定机制的假设。 为了使 ICAN 和该领域在理解导致 OA 的个体生物变异方面取得飞跃， 组学集成是关键。 SynC 将提供跨项目和研究社区的集成。 通过实现以下具体目标促进科学协同： (1) 将 ICAN 分析与中心指导委员会设定的里程碑保持一致并协调 (2) 建立并维持 用于数据摄取和组学的集中式高性能计算环境和标准化管道 (3) 摄取外部 OA 数据集并对其进行标准化，并在 ICAN 和 ICAN 之间进行综合分析 外部数据；(4) 开发一个用户友好的基于网络的资源，mapOA，用于共享集成的 OA 组学 以及 ICAN 和更广泛的研究界的成像数据。 实现 SynC 目标将通过提供 研究人员和研究界可以使用 mapOA 轻松获得可靠的质量控制和协调信息 所有项目的结果和获取的公开数据；提供标准化的 HPC 环境； 管道；以及进行超出单个项目的综合分析。 ICAN 不仅仅是其各个项目的总和。 SynC 团队由多名首席研究员共同领导。 Eric Otto Johnson 博士和 Nathan Gaddis 博士带来了多站点联盟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； 开发；数据构建、整合和处理；不同人群的组学数据分析； 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 研究对 OA 生物驱动因素的影响。