使用RINGS聚糖挖掘工具在聚糖数据中挖掘频繁子树。
Mining frequent subtrees in glycan data using the RINGS glycan miner tool.
作者信息
Aoki-Kinoshita Kiyoko Flora
机构信息
Department of Bioinformatics, Faculty of Engineering, Soka University, Hachioji, Tokyo, Japan.
出版信息
Methods Mol Biol. 2013;939:87-95. doi: 10.1007/978-1-62703-107-3_8.
This chapter describes the Glycan Miner Tool, which is available as a part of the Resource for INformatics of Glycomes at Soka Web site. It implements the α-closed frequent subtree algorithm to find significant subtrees from within a data set of glycan structures, or carbohydrate sugar chains. The results are returned in order of p-value, which is computed based on the probability of the reproducibility of the returned structures. There is also a user-friendly manual that allows users to apply glycan array data from the Consortium for Functional Glycomics. Thus, glycobiologists can take the glycan structures that bind to a particular glycan-binding protein, for example, to retrieve the glycan subtrees that are deemed to be important for the binding to occur.
本章介绍了聚糖挖掘工具，该工具可在创价大学网站的糖组信息资源中获取。它实现了α封闭频繁子树算法，以从聚糖结构或碳水化合物糖链的数据集中找到重要的子树。结果按p值顺序返回，p值是根据返回结构的可重复性概率计算得出的。还有一份用户友好的手册，允许用户应用来自功能糖组学协会的聚糖阵列数据。因此，糖生物学家可以获取与特定聚糖结合蛋白结合的聚糖结构，例如，检索被认为对结合发生很重要的聚糖子树。
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