Springer Immunoinformatics: 1 (Immunomics Reviews:, 1)

In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines. From the Back Cover 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:ImmunoinformaticsEdited by Christian SchönbachImmunoinformatics 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. About the Author Christian Schönbach is currently an Associate Professor (Genetics and Genomics) at Nanyang Technological University (Singapore). Until recently he was Team Leader of the Immunoinformatics Team at the RIKEN Genomic Sciences Center (Japan). His research on decoding mouse genome information employs both computational and experimental methods. He obtained is higher education at University of Würzburg, SUNY Albany, University of Tübingen, Max-Planck Institute for Biology, and UCSD. He holds a doctor degree in Genetics obtained through immunogenetics research under Jan Klein at the Max-Planck Institute for Biology. He completed his post-doctoral training in experimental and computational immunology with Masafumi Takiguchi and Kohji Egawa at The University of Tokyo, Institute of Medical Science. His working experience includes research scientist in gene discovery and bioinformatics at Chugai Research Institute for Molecular Medicine, Inc. (Japan), visiting scientist in immunology at the University of Tokyo, principal investigator in computational immunology at Kent Ridge Digital Labs, and Team Leader at RIKEN GSC where he interfaced for its bioinformatics group between computer science and experimental biology. Besides he contributed to