STANDARDS FOR DIGITAL REPRESENTATION OF GLYCAN STRUCTURE

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 开发用于表示和传输多聚糖结构信息的XML标准。集成数据处理要求在数据库、Web服务和其他应用程序之间进行便捷的信息交换。我们正在开发一种名为Glyde(多糖数据交换)的标准，它使用可扩展标记语言(XML)，可以被常用的解析工具理解，使其能够被广泛的潜在应用所访问。Glyde是我们的XML格式，用于明确表示多糖结构，它的实用性得到了德国癌症研究中心和功能糖链联盟的科学家的认可。随后的讨论导致启动了一项非正式合作，目的是开发Glyde作为实验室间糖链结构信息的数字传输的标准格式。持续不断的通信使人们更好地认识到必须解决的问题，才能制定真正有用的代表性标准。合作的重点是继续开发Glyde-II，它更加灵活，能够在不同的粒度水平上表示多糖和糖共轭化合物。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Development of XML standards for the representation and transmission of glycan structural information. Integrated data processing demands facile information exchange between databases, web services, and other applications. We are developing a standard called GLYDE (GLYcan Data Exchange) using eXtensible Markup Language (XML) that can be understood by commonly used parsing tools, making it accessible to a wide range of potential applications. The utility of GLYDE, our XML format for the unambiguous representation of glycan structures, was recognized by scientists at the German Cancer Research Center and the Consortium for Functional Glycomics. Subsequent discussions led to the initiation of an informal collaboration aimed at developing GLYDE for use as a standard format for the digital transmission of glycan structural information between laboratories. Continuing correspondence has led to a greater appreciation of the issues that must be solved to make a truly useful representational standard. The collaboration emphasizes the continued development of GLYDE-II, which is much more flexible and enables the representation of glycans and glycoconjugates at different levels of granularity.