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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 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.
Immunogenetics. --- Immunoinformatics. --- Immunology. --- Immunoinformatics --- Genomics --- Immune System --- Computational Biology --- Models, Immunological --- Models, Biological --- Biology --- Hemic and Immune Systems --- Genetics --- Models, Theoretical --- Biological Science Disciplines --- Anatomy --- Natural Science Disciplines --- Investigative Techniques --- Disciplines and Occupations --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Microbiology & Immunology --- Health & Biological Sciences --- Bioinformatics. --- Immobilized cells. --- Computational immunology --- Immunological informatics --- Bio-informatics --- Biological informatics --- Medicine. --- Human genetics. --- Microbiology. --- Biomedicine. --- Human Genetics. --- Information science --- Computational biology --- Systems biology --- Microbial biology --- Microorganisms --- Immunobiology --- Life sciences --- Serology --- Heredity, Human --- Human biology --- Physical anthropology --- Clinical sciences --- Medical profession --- Medical sciences --- Pathology --- Physicians --- Data processing --- Cell culture --- Cells --- Bioinformatics --- Immunology
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