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Informatics Tools to Advance the Biology of Glycosaminoglycans and Proteoglycans

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Glycosaminoglycans

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1229))

Abstract

Glycomics researchers have identified the need for integrated database systems for collecting glycomics information in a consistent format. The goal is to create a resource for knowledge discovery and dissemination to wider research communities. This has the potential to extend the research community to include biologists, clinicians, chemists, and computer scientists. This chapter discusses the technology and approach needed to create integrated data resources to empower the broader community to leverage extant glycomics data. The focus is on glycosaminoglycan (GAGs) and proteoglycan research, but the approach can be generalized. The methods described span the development of glycomics standards from CarbBank to Glyco Connection Tables. The existence of integrated data sets provides a foundation for novel methods of analysis such as machine learning for knowledge discovery. The implications of predictive analysis are examined in relation to disease biomarker to expand the target audience of GAG and proteoglycan research.

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Author information

Authors and Affiliations

  1. Biomedical Informatics Center, Medical University of South Carolina, 135 Cannon Street, MSC 200, Charleston, SC, 29425, USA

    Lewis J. Frey Ph.D.

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  1. Lewis J. Frey Ph.D.
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Correspondence to Lewis J. Frey Ph.D. .

Editor information

Editors and Affiliations

  1. Department of Medicinal Chemistry, University of Utah, Salt Lake City, Utah, USA

    Kuberan Balagurunathan

  2. Department of Genetics, Cell Biology and Development, The University of Minnesota, Minneapolis, Minnesota, USA

    Hiroshi Nakato

  3. Department of Medicinal Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA

    Umesh R. Desai

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Frey, L.J. (2015). Informatics Tools to Advance the Biology of Glycosaminoglycans and Proteoglycans. In: Balagurunathan, K., Nakato, H., Desai, U. (eds) Glycosaminoglycans. Methods in Molecular Biology, vol 1229. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1714-3_23

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  • DOI: https://doi.org/10.1007/978-1-4939-1714-3_23

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1713-6

  • Online ISBN: 978-1-4939-1714-3

  • eBook Packages: Springer Protocols

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