Core D - Data Management and Bioinformatics Core

项目总结/摘要 SYBIL数据管理和生物信息学核心（DMBC）将在所有阶段支持中心的使命 通过跟踪项目和实验，促进可重复的分析， 生物信息工具，并确保数据和资源的获取和传播。研究将加速 通过使用全面的 数据管理平台，连接所有项目和核心的程序。DMBC将实施 全面的工作流程和质量控制管道，以确保生成的数据的严格性和可重复性 整个SYBIL联盟计划数据和资源将通过公共资料库传播 以及由核心开发和维护的中心网站。DMBC的工作流程已经优化 在前Fluomics联盟期间，通过促进合作和交流， 核心和项目之间的数据、生物信息学工具和模型，形成了目前的综合结构。 DMBC的一个重要目标是开发公共工具，促进数据的使用和再利用 由SYBIL计划和更广泛的科学界产生。系统级可用性 近年来，传染病领域的数据增长到前所未有的水平，特别是在2000年期间， 持续的COVID-19大流行。然而，由于缺乏可获得和易于使用的工具， 整合访问和执行大规模数据集的荟萃分析，传染病的巨大潜力 OMIC数据集为新治疗策略的设计和开发提供信息可能仍未实现。到 为了克服这一障碍，DMBC计划建立Coronascape，这是一种新的工具，使研究人员能够 将他们实验的网络和途径特征与公开的宿主-病原体数据集相匹配 并利用这些数据来克服一个不断发展的领域的新挑战。建立在高度 成功的Metascape平台以前由DMBC开发，Coronascape承诺促进 利用和重新使用大量的SARS-CoV-2数据。

PROJECT SUMMARY/ABSTRACT The SYBIL Data Management and Bioinformatics Core (DMBC) will support the Center's mission at all stages of research and publication by tracking projects and experiments, facilitating reproducible analysis, developing bioinformatic tools, and ensuring access and dissemination of data and resources. Research will be accelerated by the centralization of primary and processed data, models, workflows, and pipelines using a comprehensive data management platform to connect all Projects and Cores of the program. The DMBC will implement comprehensive workflows and quality control pipelines to ensure rigor and reproducibility of the data generated throughout the SYBIL Consortium. Program data and resources will be disseminated through public repositories and a Center website developed and maintained by the Core. The workflow of the DMBC has been optimized and improved during the previous FluOMICS Consortium, through facilitating cooperation and the exchange of data, bioinformatics tools and models between Cores and Projects, resulting in the present integrated structure. An important goal of the DMBC will be the development of public tools that facilitate the use and reuse of data generated by both the SYBIL program and the broader scientific community. The availability of systems-level data in the infectious disease field has grown to unprecedented levels in recent years, particularly during the ongoing COVID-19 pandemic. However, due to a lack of accessible and easy-to-use tools that provide consolidated access and perform meta-analyses of large-scale datasets, the vast potential for infectious disease OMICs datasets to inform design and development of new therapeutic strategies likely remains unrealized. To help overcome this barrier, the DMBC plans to establish Coronascape, a new tool that enables researchers to match the network and pathway signatures of their experiments to publicly available host-pathogen data sets and leverage those data to overcome emerging challenges of an advancing field. Building on the highly successful Metascape platform previously developed by the DMBC, Coronascape promises to promote the utilization and reuse of the vast amounts of SARS-CoV-2 data that are publicly available.