Bioinformatics for Immunomics (eBook, PDF)
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The field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. This book covers some of the rich sources of immunological data that are currently available and describes the various bioinformatics techniques that have been utilized to aid our understanding of the immune system. It also describes the nature of the…mehr

Produktbeschreibung
The field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. This book covers some of the rich sources of immunological data that are currently available and describes the various bioinformatics techniques that have been utilized to aid our understanding of the immune system. It also describes the nature of the self/non-self distinction that forms the basis of immunological theory and how computational modeling can help to clarify our understanding of how the immune system works. This is the fourth volume in a series that will be dedicated to publishing advances in immunomics particularly those focusing on systemic and integrative approaches in basic and clinical immunology, immunoinformatics, and immunologically relevant instrumentation and high-throughput screening methods.

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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 03.10.2009
  • Englisch
  • ISBN-13: 9781441905406
  • Artikelnr.: 37348729
Inhaltsangabe
From the contents:
An Editorial.- Computational Vaccinology.- Immunological databases.- IPD- the Immuno Polymorphism Database. - The IMGT/HLA Database.- Ontology Development for the Immune Epitope Database.- TEPIDAS: A Das Server for Integrating T-cell Epitope Annotations.- Databases and Web-based Tools for Innate Immunity.- Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding.- Discovering of Conserved Epitopes Through Sequence Variability Analyses.- Turnable Detectors for Artificial Immune Systems: From Model to Algorithm.- Defining the Elusive Molecular Self.- A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics.