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Immunoinformatics. --- Computational immunology --- Immunological informatics --- Bioinformatics --- Immunology --- Data processing
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This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.
Immunoinformatics --- Immunology --- Computational immunology --- Immunological informatics --- Bioinformatics --- Data processing --- Immunology. --- Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Immunobiology --- Life sciences --- Serology
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Immunomics Reviews An Official Publication of the International Immunomics Society Series Editors: Vladimir Brusic, Dana-Farber Cancer Institute, Boston, Massachusetts Andras Falus, Semmelweis University, Budapest, Hungary Editorial Board: Anne S. De Groot, Brown University, Providence, Rhode Island Darren Flower, Edward Jenner Institute for Vaccine Research, Berkshire, UK Christian Schonbach, Nanyang Technological University, Singapore Shoba Ranganathan, Macquarie University, Australia Marie-Paule Lefranc Universite Montpellier II, Montpellier, France This peer-reviewed book series offers insight on immunology for 21st century. The technological revolution has borne advances in high-throughput instrumentation and information technology, initiating a renaissance for biomathematics, and biostatistics. Cross-fertilization between genomics and immunology has led to a new field called immunomics, transforming the way in which theoretical, clinical and applied immunology are practiced. Immunomics Reviews will cover integrative approaches and applications to the theory and practice of immunology and explore synergistic effects resulting from a combination of technological advances and the latest analytical tools with the traditional fields of basic and clinical immunology. Volume 1: Immunoinformatics Edited by Christian Schönbach Immunoinformatics is an emerging subdiscipline of bioinformatics. It utilizes mathematics, information science, computer engineering, genomics, proteomics and immunological methods to bridge immunology and informatics. Similar to bioionformatics which became a driving force in genome research, immunoinformatics enables data-driven research strategies and systems approaches that aim at understanding the networks regulating the immune system. Considering the breath of topic, Immunoinformatics was composed to provide a cross-section of research ranging from data integration, epitope predictions to systems level applications. In ten chapters experts in the field introduce and discuss research strategies for immunologists and bioinformaticians who wish to endeavour existing and new approaches to gain insight into the workings of the immune system.
Immunoinformatics. --- Immunology. --- Immunobiology --- Life sciences --- Serology --- Computational immunology --- Immunological informatics --- Bioinformatics --- Immunology --- Data processing --- Bioinformatics. --- Microbiology. --- Human genetics. --- Human Genetics. --- Genetics --- Heredity, Human --- Human biology --- Physical anthropology --- Microbial biology --- Biology --- Microorganisms --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology
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"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes."--Jacket.
Bioinformatics. --- Computational Biology --- Immune System. --- Immunoinformatics. --- Immunology --- Machine learning. --- Molecular biology --- Neural Networks (Computer). --- Neural networks (Computer science). --- Methods. --- Mathematical models. --- Computer simulation. --- Neural networks (Computer science) --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Computational immunology --- Immunological informatics --- Bioinformatics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Immunobiology --- Life sciences --- Serology --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Data processing
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Immunology is an all important science, addressing, as it does the most pressing medical needs of our time: infectious disease and transplantation medicine. It has given us vaccines on the one hand and therapeutic antibodies on the other. After a century of empirical research, it is now poised to finally reinvent itself as a quantitative, genome-based science. Like most biological disciplines, immunology must capitalize on the potentially overwhelming deluge of new data delivered by post-genomic, high throughput technologies; data which is both bewilderingly complex and delivered on a hitherto unimaginable scale. Theoretical immunology is the application of mathematical modeling to diverse aspects of immunology ranging from T cell selection in the Thymus to the epidemiology of vaccination. Immunoinformatics, the application of computational informatics to the study of immunological macromolecules, addresses important questions in immunobiology and vaccinology. Immunoinformatics, addresses issues of data management, and has the ability to design and implement efficient new experimental strategies. Artificial Immune Systems (AIS) is an area of computer science which uses ideas and concepts from immunology to guide and inspire new algorithms, data structures, and software development. The influence of AIS is now becoming highly synergistic through its interaction with immunoinformatics. These three different disciplines are now poised to engineer a paradigm shift from hypothesis- to data-driven research, with new understanding emerging from the analysis of complex datasets: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS). "in silico Immunology" is a book for the future: it will summarize these emergent disciplines and, while focusing on cutting edge developments, will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care.
Medicine. --- Immunology. --- Proteomics. --- Bioinformatics. --- Microbial genetics. --- Microbial genomics. --- Biomathematics. --- Biomedicine. --- Microbial Genetics and Genomics. --- Physiological, Cellular and Medical Topics. --- Mathematical and Computational Biology. --- Biology --- Mathematics --- Genomics --- Microbial genetics --- Microorganisms --- Genetics --- Microbiology --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Molecular biology --- Proteins --- Immunobiology --- Life sciences --- Serology --- Clinical sciences --- Medical profession --- Human biology --- Medical sciences --- Pathology --- Physicians --- Data processing --- Immunoinformatics. --- Immunocomputers. --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputers --- Immunocomputing --- Natural computation --- Immune system --- Computational immunology --- Immunological informatics --- Bioinformatics --- Immunology --- Computer simulation --- Physiology --- Mathematics. --- Animal physiology --- Animals --- Anatomy
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The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author’s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China. .
Biomedicine. --- Immunology. --- Systems Biology. --- Proteomics. --- Cell Biology. --- Medicine. --- Biological models. --- Cytology. --- Médecine --- Immunologie --- Protéomique --- Modèles biologiques --- Cytologie --- Immunoinformatics. --- Nucleotide sequence. --- Systems biology. --- Biology --- Health & Biological Sciences --- Microbiology & Immunology --- Analysis, Nucleic acid sequence --- Analysis, Nucleotide sequence --- Base sequence (Nucleic acids) --- DNA sequence --- Nucleic acid sequence analysis --- Nucleotide sequence analysis --- RNA sequence --- Sequence, Nucleotide --- Computational immunology --- Immunological informatics --- Cell biology. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Nucleic acids --- Nucleotides --- Sequence alignment (Bioinformatics) --- Immunology --- Analysis --- Data processing --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Proteins --- Models, Biological --- Immunobiology --- Life sciences --- Serology
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Allergy and Immunology --- Computational Biology --- Genomics --- Immunology --- Immunoinformatics --- Immunologie --- Immuno-informatique --- Génomique --- Periodicals. --- Périodiques --- Allergy and Immunology. --- Computational Biology. --- Genomics. --- Immunoinformatics. --- Immunology. --- Computational immunology --- Immunological informatics --- Genome research --- Genomes --- Immunobiology --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Bioinformatics --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Allergy Specialty --- Allergy, Immunology --- Immunology and Allergy --- Immunology, Allergy --- Specialty, Allergy --- Research --- Molecular genetics --- Life sciences --- Serology --- Human Genome Project --- Genome --- Data processing --- Comparative Genomics --- Comparative Genomic --- Genomic, Comparative --- Genomics, Comparative --- Computational Chemistry --- Microbiology & Immunology --- Immunology. Immunopathology
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Immunomics Reviews An Official Publication of the International Immunomics Society Series Editors: Vladimir Brusic, Dana-Farber Cancer Institute, Boston, Massachusetts Andras Falus, Semmelweis University, Budapest, Hungary Editorial Board: Anne S. De Groot, Brown University, Providence, Rhode Island Darren Flower, Edward Jenner Institute for Vaccine Research, Berkshire, UK Christian Schonbach, Nanyang Technological University, Singapore Shoba Ranganathan, Macquarie University, Australia Marie-Paule Lefranc Universite Montpellier II, Montpellier, France This peer-reviewed book series offers insight on immunology for 21st century. The technological revolution has borne advances in high-throughput instrumentation and information technology, initiating a renaissance for biomathematics, and biostatistics. Cross-fertilization between genomics and immunology has led to a new field called immunomics, transforming the way in which theoretical, clinical and applied immunology are practiced. Immunomics Reviews will cover integrative approaches and applications to the theory and practice of immunology and explore synergistic effects resulting from a combination of technological advances and the latest analytical tools with the traditional fields of basic and clinical immunology. Volume 2: Clinical Applications of Immunomics Edited by Andras Falus Rapid improvement in accessibility to molecular databases as well as availability of high throughput genomic, proteomic, and other ‘omics’ methodologies are forcing a considerable shift in research and development strategies for biomedicine. Systems biology, a systematic study of complex interactions in biological systems, is currently closely related to the development and application of bioinformatics and biostatistics tools to genomic and proteomic data in clinical immunology, as well. Systems immunology translates achievements of immunological research to medically relevant applications such as diagnosis, prevention, and therapy. Clinical immunomics covers a broad range of diseases and this volume brings together a work representing a spectrum of immunomic applications to showcase key technologies that will shape clinical immunology in the near future. The chapters show examples of immunomics approaches to cancer, autoimmunity, allergy, and primary immunodeficiencies. Key concepts of this volume deal with various combinations of bioinformatics and biostatistics, instrumentation, molecular biology, animal models, and clinical samples for the advancement of clinical immunology.
Clinical immunology. --- Computational Biology. --- Genomics. --- Immunoinformatics. --- Immunologic Techniques. --- Immunotherapy -- methods. --- Clinical immunology --- Immunoinformatics --- Immunomodulation --- Investigative Techniques --- Genetics --- Biology --- Biological Science Disciplines --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Biological Therapy --- Natural Science Disciplines --- Therapeutics --- Disciplines and Occupations --- Genomics --- Computational Biology --- Immunotherapy --- Immunologic Techniques --- Medicine --- Health & Biological Sciences --- Clinical Immunology --- Microbiology & Immunology --- Computational immunology --- Immunological informatics --- Medical immunology --- Medicine. --- Human genetics. --- Immunology. --- Bioinformatics. --- Microbiology. --- Biomedicine. --- Human Genetics. --- Bioinformatics --- Immunology --- Data processing --- Heredity, Human --- Human biology --- Physical anthropology --- Microbial biology --- Microorganisms --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Immunobiology --- Life sciences --- Serology
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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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This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Artificial immune systems --- Immune system --- Immunoinformatics --- Computing Methodologies --- Hemic and Immune Systems --- Publication Formats --- Models, Biological --- Models, Theoretical --- Anatomy --- Information Science --- Publication Characteristics --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Models, Immunological --- Artificial Intelligence --- Immune System --- Congresses --- Computer Simulation --- Engineering & Applied Sciences --- Computer Science --- Computer simulation --- Immunocomputers --- Computational immunology --- Immunological informatics --- Immunological system --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputing --- Computer science. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer simulation. --- Pattern recognition. --- Computer Science. --- Simulation and Modeling. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Pattern Recognition. --- Information Systems Applications (incl. Internet). --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Informatics --- Science --- Foundations --- Bioinformatics --- Immunology --- Natural computation --- Data processing --- Computer software. --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Software, Computer --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Pattern recognition systems. --- Computer Modelling. --- Theory of Computation. --- Automated Pattern Recognition. --- Computer and Information Systems Applications. --- Pattern classification systems --- Pattern recognition computers --- Computer vision
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