Computational and Informatics Resources and Tools for Glycoscience Research

项目总结/摘要 尽管不断的技术进步正在加速数据采集的速度和复杂性， 糖科学，将这些数据转化为糖生物学知识，洞察力和理解是 由于促进其与生物学知识整合的工具数量有限， 遗传学、蛋白质组学、病理学和其他学科。我们的资助申请描述了 一个集成的，可扩展的，跨学科的资源，提供工具和数据，以解决特定的 目前只能通过广泛的文献研究来回答的科学问题， 从不同的数据库和网站手动收集数据。利用在我们的研究中获得的见解， 规划赠款活动，包括一个侧重于评估现有资源和社区的讲习班， 需要，我们建议开发一个广泛相关和可持续的糖信息学资源， 糖科学与数据爆炸，这是革命性的生物学。我们确定了关键的差距， 必须克服的挑战，以创造一个持久和可持续的 糖信息学资源，超越了将聚糖数据映射到基因和蛋白质，以识别和 整合EMBL-EBI、NCBI、UniProt、UniCarbKB、CAZy、Gene等多学科知识 Ontology和其他来源。为了最大限度地发挥这些资源之间的协同作用，我们提出了一种新的聚糖， 阵列数据库和增强的本体以促进聚糖和糖缀合物的整合 表达和与其他信息的交互数据。在以下背景下评估这些数据 关于基因突变、基因表达、蛋白质功能和其他现象的知识将提供 为系统水平理解糖基化在疾病中的作用提供了新的机会， 发展这个全面的数据集成框架将为以下方面提供前所未有的支持： 涉及糖生物学的各种数据类型的复杂查询。需要技术进步， 实施该框架包括数据证据标记、本体和标准开发，以及 支持数据挖掘、共享和传播的新界面。社区参与，特别是 与科学家谁不专门从事糖生物学，将强调最大限度地提高相关性， 资源。我们将开发一个门户网站，以标准格式公开提供所有这些信息 由NCBI和EMBL-EBI支持，并以我们开发的新格式，促进数据共享， 最终整合到这些广泛使用的信息资源中。

PROJECT SUMMARY/ABSTRACT Although ongoing technical advances are accelerating the pace and sophistication of data acquisition in glycoscience, the transformation of these data to glycobiology knowledge, insight, and understanding is slowed by the limited number of tools that facilitate their integration with biological knowledge from genetics, proteomics, pathology, and other disciplines. Our grant application describes the development of an integrated, extendable, and cross-disciplinary resource providing tools and data to address specific scientific questions that can currently be answered only by extensive literature-based research and manual collection of data from disparate databases and websites. Using insight gained during our planning grant activities, including a workshop focused on evaluating existing resources and community needs, we propose to develop a broadly relevant and sustainable glycoinformatics resource to connect glycoscience with the explosion of data that is revolutionizing biology. We identified critical gaps that need to be filled and challenges that must be overcome to create an enduring and sustainable glycoinformatics resource that goes beyond mapping glycan data to genes and proteins to identify and integrate diverse multidisciplinary knowledge from EMBL-EBI, NCBI, UniProt, UniCarbKB, CAZy, Gene Ontology and other sources. To maximize synergy among these resources, we propose a new glycan array data repository and enhanced ontologies to facilitate integration of glycan and glycoconjugate expression and interaction data with other information. Evaluating these data in the context of knowledge about genetic mutations, gene expression, protein function and other phenomena will provide new opportunities for systems-level understanding of the roles of glycosylation in disease and development. This comprehensive data integration framework will provide unprecedented support for complex queries spanning diverse data types relevant to glycobiology. Technical advances required to implement this framework include evidence tagging of data, ontology and standards development, and new interfaces that enable data mining, sharing, and dissemination. Community engagement, especially with scientists who do not specialize in glycobiology, will be emphasized to maximize the relevance of our resource. We will develop a portal to make all this information publicly available in standard formats supported by NCBI and EMBL-EBI and in new formats we develop, promoting sharing of data and their ultimate integration into these widely used informatics resources.