Data Management and Bioinformatics Core

项目摘要-数据管理和生物信息学核心 病毒系统生物学中心（CViSB）生产大量快速变化的，异质的 系统生物学数据，在管理，跟踪和共享数据方面带来了挑战。数据的目标 管理和生物信息学（DMB）的核心是促进重用和理解的大， 多学科的系统生物学数据，我们产生和策划。我们的目标是公布尽可能多的数据 通过管理、跟踪和监控所有CViSB活动， 和数据资产，并将其发布在我们的CViSB数据门户网站data.cvisb.org上。 了解这些数据，我们将制定方法，以提高可访问性和可解释性 通过创新的生物信息学软件和可视化工具来分析我们的数据。最后，我们寻求参与 与社区合作，以促进我们的数据和工具的采用和适应， FAIR在整个系统生物学社区分享最佳实践。 为了实现这些目标并支持CViSB的总体使命，我们有以下四个方面 目标：（1）维护和扩大开放的数据平台，以实时共享，跟踪和分析各种 宿主、病原体和上下文FAIR数据;（2）强化和扩展开放的生物信息学管道， 不同系统生物数据集的预测建模的计算工具;（3）开发新的 可视化工具，以帮助解释和分析复杂的，多维的传染性 （4）促进CViSB以外的数据管理和生物信息学活动。我们 该方法将使强大的数据和分析生态系统能够实时提供多维数据 CViSB和外部研究人员了解病毒动态。

Project Summary - Data Management and Bioinformatics Core The Center for Viral Systems Biology (CViSB) produces vast amounts of rapidly changing, heterogeneous systems biology data, creating a challenge in managing, tracking, and sharing data. The goal of the Data Management and Bioinformatics (DMB) Core is to promote the reuse and understanding of the large, multidisciplinary systems biology data we generate and curate. We aim to release as much of our data and results as possible, as quickly as possible, by managing, tracking, and monitoring all CViSB activities and data assets and publishing them on our CViSB Data Portal, data.cvisb.org. To aid in the understanding of these data, we will develop approaches to improve the accessibility and interpretability of our data through innovative bioinformatics software and visualization tools. Lastly, we seek to engage with the community to promote the adoption and adaptation of our data and tools and to proliferate FAIR-sharing best practices throughout the Systems Biology community. To accomplish these objectives and support the overall mission of CViSB, we have the following four aims: (1) Maintain and expand open data platforms for real-time sharing, tracking, and analysis of diverse host, pathogen, and contextual FAIR data; (2) Harden and extend open bioinformatics pipelines and computational tools for predictive modeling of diverse systems biological datasets; (3) Develop novel visualization tools to aid in the interpretation and analysis of complex, multi-dimensional infectious disease datasets; (4) Promote data management and bioinformatics activities beyond CViSB. Our approach will enable a robust data and analysis ecosystem to provide multidimensional data in real-time to CViSB and external researchers to understand virus dynamics.