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An Overview of Bioinformatics Tools and Resources in Allergy

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Food Allergens

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1592))

Abstract

The rapidly increasing number of characterized allergens has created huge demands for advanced information storage, retrieval, and analysis. Bioinformatics and machine learning approaches provide useful tools for the study of allergens and epitopes prediction, which greatly complement traditional laboratory techniques. The specific applications mainly include identification of B- and T-cell epitopes, and assessment of allergenicity and cross-reactivity. In order to facilitate the work of clinical and basic researchers who are not familiar with bioinformatics, we review in this chapter the most important databases, bioinformatic tools, and methods with relevance to the study of allergens.

*These authors contributed equally to this article.

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    Authors and Affiliations

    1. Genome Institute of Singapore, A*STAR, Singapore, Singapore

      Zhiyan Fu

    2. Bioinformatics Institute, A*STAR, Singapore, Singapore

      Jing Lin

    3. Institute of High Performance Computing, A*STAR, Singapore, Singapore

      Jing Lin

    4. Pediatric Allergy & Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

      Jing Lin

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    1. Zhiyan Fu
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    Correspondence to Zhiyan Fu .

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    1. Bioinformatics Institute, A*STAR, Singapore, Singapore

      Jing Lin

    2. School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom

      Marcos Alcocer

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    Fu, Z., Lin, J. (2017). An Overview of Bioinformatics Tools and Resources in Allergy. In: Lin, J., Alcocer, M. (eds) Food Allergens. Methods in Molecular Biology, vol 1592. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6925-8_18

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    • DOI: https://doi.org/10.1007/978-1-4939-6925-8_18

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