Document Detail


Mining frequent subtrees in glycan data using the rings glycan miner tool.
MedLine Citation:
PMID:  23192543     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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:
Kiyoko Flora Aoki-Kinoshita
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  939     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2013  
Date Detail:
Created Date:  2012-11-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  87-95     Citation Subset:  IM    
Affiliation:
Department of Bioinformatics, Faculty of Engineering, Soka University, Hachioji, Tokyo, Japan, kkiyoko@soka.ac.jp.
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