rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Bioinformatics for Immunomics
  name:
    name part: Flower, Darren D.R.
    role:
      role term: editor.
  name:
    name part: Davies, Matthew.
    role:
      role term: editor.
  name:
    name part: Ranganathan, Shoba.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 192 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Darren D.R. Flower, Matthew Davies, Shoba Ranganathan.
  subject:
    topic: Medicine
  subject:
    topic: Human genetics
  subject:
    topic: Immunology
  subject:
    topic: Bioinformatics
  subject:
    topic: Microbiology
  subject:
    topic: Biomedicine
  subject:
    topic: Immunology
  subject:
    topic: Bioinformatics
  subject:
    topic: Microbiology
  subject:
    topic: Human Genetics
  classification: QR180-189.5
  classification: 616.079
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Immunomics Reviews:, An Official Publication of the International Immunomics Society ; 3
  identifier: 9781441905406
  identifier: http://dx.doi.org/10.1007/978-1-4419-0540-6
  record info:
    record creation date: 100301
    record change date: 20150519174330.0
    record identifier: 978-1-4419-0540-6