Abstract
This chapter introduces the web resource called RINGS which can be accessed at http://www.rings.t.soka.ac.jp/ and provides freely available tools for analyzing and data mining glycomics data. These include DrawRINGS, an applet to draw glycan structures and obtain the KCF (KEGG Chemical Function)-formatted representation of the structure; ProfilePSTMM, a tool based on a probabilistic model which can extract patterns within groups of glycan structures; Glycan Miner, a tool for finding the common glycan substructures within a group of glycan structures; MCAW, a multiple alignment tool for glycans; Kernel Tool, a tool to find glycan substructures that are particular to one glycan structure data set compared to another; GPP, glycan pathway predictor for generating N-glycan biosynthesis pathways; and utilities for converting between various glycan structure representations. Each tool will be described in its usage and application, along with tips for using the tools most effectively. Moreover, RINGS provides a data management system as well as a feedback system to allow users to store their data on the RINGS server as well as to interact with developers to improve RINGS functionality.
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Acknowledgements
This work was supported in part by Grant-In-Aid for Young Scientists (A); KAKENHI (20016025); the Japan Society for the Promotion of Science (JSPS); the Ministry of Education, Culture, Sports, Science and Technology (MEXT); and the Soka University.
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Aoki-Kinoshita, K.F. (2017). RINGS: A Web Resource of Tools for Analyzing Glycomics Data. In: Aoki-Kinoshita, K. (eds) A Practical Guide to Using Glycomics Databases. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56454-6_15
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DOI: https://doi.org/10.1007/978-4-431-56454-6_15
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