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RINGS

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Glycoscience: Biology and Medicine

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Abstract

Glycomics technologies have enabled the generation of tremendous amounts of glycomics data in recent years. In particular, mass spectrometry (MS) profiling and automatic annotation of such data has produced a large number of glycan structures for any particular biological sample. In order to efficiently analyze such data, computational methods such as data mining and graph algorithms have been developed. To enable glycobiologists to take advantage of these methods easily, RINGS (Resource for Informatics of Glycomes at Soka) was developed as a Web-based resource to provide free access to these tools. It provides a number of data mining and computer theoretic tools to analyze glycan structures, including Web tools for predicting N-glycan biosynthesis and glycan structure recognition patterns. Moreover, due to the increasing amounts of glycan structure data, several different representational text formats for glycan structures have also become widespread. Thus, RINGS also provides a number of utilities for converting between various glycan structure formats. The RINGS tools and utilities, as well as examples of their applications, will be described in this chapter.

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References

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Author information

Authors and Affiliations

  1. Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Tokyo, 192-8577, Japan

    Kiyoko F. Aoki-Kinoshita

Authors
  1. Kiyoko F. Aoki-Kinoshita
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Corresponding author

Correspondence to Kiyoko F. Aoki-Kinoshita .

Editor information

Editors and Affiliations

  1. Tokyo Metropolitan Institute of Gerontology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

    Tamao Endo

  2. Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Potsdam, Germany

    Peter H. Seeberger

  3. Dept. Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    Gerald W. Hart

  4. Academia Sinica, Nankang, Taipei, Taiwan

    Chi-Huey Wong

  5. Systems Glycobiology Group, RIKEN-Max Planck Joint Research Center for Systems Chemical Biology, Wako, Saitama, Japan

    Naoyuki Taniguchi

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© 2014 Springer Japan

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Aoki-Kinoshita, K.F. (2014). RINGS . In: Endo, T., Seeberger, P., Hart, G., Wong, CH., Taniguchi, N. (eds) Glycoscience: Biology and Medicine. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54836-2_19-1

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  • DOI: https://doi.org/10.1007/978-4-431-54836-2_19-1

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  • Publisher Name: Springer, Tokyo

  • Online ISBN: 978-4-431-54836-2

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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