title: Mining frequent subtrees in glycan data using the RINGS glycan miner tool.
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.
authors.affiliation: Department of Bioinformatics, Faculty of Engineering, Soka University, Hachioji, Tokyo, Japan. kkiyoko@soka.ac.jp
authors.forename: Kiyoko Flora
authors.initials: KF
authors.lastname: Aoki-Kinoshita
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D005690:Galactose / Q000737:chemistry; D005947:Glucose / Q000737:chemistry; D054794:Glycomics / Q000379:methods; D006801:Humans; D051379:Mice; D011134:Polysaccharides / Q000032:analysis / Q000737:chemistry*; D015203:Reproducibility of Results
chemical_list: D011134:Polysaccharides; D005947:Glucose; D005690:Galactose