Lütteke Thomas
Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Frankfurter Str. 100, Giessen, 35392, Germany,
Methods Mol Biol. 2015;1273:43-54. doi: 10.1007/978-1-4939-2343-4_4.
Various glycobioinformatics resources have developed individual carbohydrate sequence formats to store and handle glycan data. This diversity of sequence formats is one of the major reasons for a rather low interoperability of glycobioinformatics resources. The formats have often been optimized to serve special requirements of the individual resources and are thus not fully compatible, but in many cases translation from one format to another is possible. This chapter summarizes some of the major glycan sequence formats and demonstrates the use of tools for translation between these formats. Some pitfalls that users of sequence conversion tools need to pay attention to are also illustrated.
各种糖生物信息学资源已经开发了各自的碳水化合物序列格式来存储和处理聚糖数据。这种序列格式的多样性是糖生物信息学资源之间互操作性较低的主要原因之一。这些格式通常已针对各个资源的特殊要求进行了优化,因此并不完全兼容,但在许多情况下可以从一种格式转换为另一种格式。本章总结了一些主要的聚糖序列格式,并演示了在这些格式之间进行转换的工具的使用。还说明了序列转换工具的用户需要注意的一些陷阱。