alexa Mining frequent subtrees in glycan data using the RINGS glycan miner tool.
Biochemistry

Biochemistry

Journal of Glycobiology

Author(s): AokiKinoshita KF

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Abstract 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. This article was published in Methods Mol Biol and referenced in Journal of Glycobiology

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