Record Display for the EPA National Library Catalog


Main Title Bioinformatics for Immunomics [electronic resource] /
Author Flower, Darren D.R.
Other Authors
Author Title of a Work
Davies, Matthew.
Ranganathan, Shoba.
Publisher Springer New York,
Year Published 2010
Call Number QR180-189.5
ISBN 9781441905406
Subjects Medicine ; Human genetics ; Immunology ; Bioinformatics ; Microbiology
Internet Access
Description Access URL
Collation XVI, 192 p. online resource.
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Computational Vaccinology -- 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 -- Discovery of Conserved Epitopes Through Sequence Variability Analyses -- Tunable 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. 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.