Synergy Core (SynC)

项目概要/摘要 Synergy Core（SynC）将支持集成组学中心的总体使命， 阿片类药物成瘾的神经生物学理解（ICAN）发现和分享阿片类药物的生物驱动因素 成瘾（OA）通过协调统一和严格的方法来分析整个ICAN，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 社区通过用户友好的基于网络的数据门户，mapOA。每个ICAN项目都将提供重要的立场- 单独的发现，但结合和整合项目将提高统计能力，通过Meta， 分析，阐明了统计关联的潜在功能（例如，将重要位点映射到 功能性基因靶点），通过协调人类基因组， 研究和动物模型研究，并最终产生和测试有关假定机制的假设。 对于ICAN和该领域在理解导致OA的个体生物学变异方面的飞跃， 组学整合是关键。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)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摄取和组学的标准化管道 分析;（3）摄取和标准化外部OA数据集，并在ICAN中进行综合分析， 外部数据;以及（4）开发一个方便用户的网上资源MapOA，以分享综合OA组学 和ICAN内的成像数据，并与更广泛的研究社区。 实现SynC目标将通过提供以下服务，极大地提高ICAN项目的协同集成 研究人员和研究社区与mapOA轻松访问强大的质量控制艾德和协调 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;并进行超出个别项目的综合分析。SynC是制造 ICAN超过了其单个项目的总和。SynC团队由多名主要研究人员共同领导 Eric Otto约翰逊博士和Nathan Gaddis博士，他们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;管道和工作流程 开发;数据结构化，整合和处理;不同人群的组学数据分析;以及 数据可视化他们得到了广泛的统计学家，生物信息学家和开发人员团队的支持。 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。

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.