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Bioinformatics for Immunomics Immunomics Reviews

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ISBN 10: 1461424852 / ISBN 13: 9781461424857
Published by Springer
New Condition: New Soft cover
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Paperback. 192 pages. Dimensions: 9.2in. x 6.1in. x 0.5in.Like many words, the term immunomics equates to different ideas contingent on context. For a brief span, immunomics meant the study of the Immunome, of which there were, in turn, several different definitions. A now largely defunct meaning rendered the Immunome as the set of antigenic peptides or immunogenic proteins within a single microorganism be that virus, bacteria, fungus, or parasite or microbial population, or antigenic or allergenic proteins and peptides derived from the environment as a whole, containing also proteins from eukaryotic sources. However, times have changed and the meaning of immunomics has also changed. Other newer definitions of the Immunome have come to focus on the plethora of immunological receptors and accessory molecules that comprise the host immune arsenal. Today, Immunomics or immunogenomics is now most often used as a synonym for high-throughput genome-based immunology. This is the study of aspects of the immune system using high-throughput techniques within a conc- tual landscape borne of both clinical and biophysical thinking. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9781461424857

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Bibliographic Details

Title: Bioinformatics for Immunomics Immunomics ...

Publisher: Springer

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

This fourth volume of a series is dedicated to advances in immunomics. The focus is on systemic and integrative approaches in basic and clinical immunology, immunoinformatics, and immunologically relevant instrumentation and high-throughput screening methods.

From the Back Cover:

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.

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