16. Informatics for Glycobiology and Glycomics

  1. Binghe Wang3 and
  2. Geert-Jan Boons4
  1. Kiyoko F. Aoki-Kinoshita1,2

Published Online: 7 JUL 2011

DOI: 10.1002/9781118017586.ch16

Carbohydrate Recognition: Biological Problems, Methods, and Applications

Carbohydrate Recognition: Biological Problems, Methods, and Applications

How to Cite

Aoki-Kinoshita, K. F. (2011) Informatics for Glycobiology and Glycomics, in Carbohydrate Recognition: Biological Problems, Methods, and Applications (eds B. Wang and G.-J. Boons), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118017586.ch16

Editor Information

  1. 3

    Department of Chemistry and Center for Biotechnology and Drug Design, Georgia State University, Atlanta, Georgia, USA

  2. 4

    University of Georgia, USA

Author Information

  1. 1

    Department of Bioinformatics, Faculty of Engineering Soka University, Tokyo, Japan

  2. 2

    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan

Publication History

  1. Published Online: 7 JUL 2011
  2. Published Print: 22 AUG 2011

Book Series:

  1. Wiley Series in Drug Discovery and Development

Book Series Editors:

  1. Binghe Wang

Series Editor Information

  1. Department of Chemistry and Center for Biotechnology and Drug Design, Georgia State University, Atlanta, Georgia, USA

ISBN Information

Print ISBN: 9780470592076

Online ISBN: 9781118017586

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Keywords:

  • glycobiology and glycomics informatics - for glycobiology research, KEGG glycan database;
  • profile PSTMM performance on glycan data - data set of glycan binding affinity of galectins;
  • kernel method, bioinformatics field - support vector machines (SVMs), two or more sets of data

Summary

This chapter contains sections titled:

  • Introduction

  • Probabilistic Models

  • Kernel Methods

  • Conclusion

  • References