Authors:
- Immuno systems biology specifically aims to study the host immune system in a more integrated manner
- Focuses on the dynamical analyses of mammalian innate immune response to bacterial and viral perturbations using computational models based on simple physical rules
- Deals with interpreting population level immune cell signaling response in wildtype and mutant cells
- Includes supplementary material: sn.pub/extras
Part of the book series: Systems Biology (SYSTBIOL, volume 3)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
Immuno Systems Biology aims to study the immune system in the more integrated manner on how cells and molecules participate at different system levels to the immune function. Through this book Kumar Selvarajoo introduces to physicists, chemists, computer scientists, biologists and immunologists the idea of an integrated approach to the understanding of mammalian immune system. Geared towards a researcher with limited immunological and computational analytical experience, the book provides a broad overview to the subject and some instruction in basic computational, theoretical and experimental approaches. The book links complex immunological processes with computational analysis and emphasizes the importance of immunology to the mammalian system.
Authors and Affiliations
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Keio University Inst. Advanced Biosciences, Tsuruoka, Yamagata, Japan
Kumar Selvarajoo
Bibliographic Information
Book Title: Immuno Systems Biology
Book Subtitle: A macroscopic approach for immune cell signaling
Authors: Kumar Selvarajoo
Series Title: Systems Biology
DOI: https://doi.org/10.1007/978-1-4614-7690-0
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-7459-3Published: 01 October 2013
Softcover ISBN: 978-1-4939-5090-4Published: 23 August 2016
eBook ISBN: 978-1-4614-7690-0Published: 01 October 2013
Series ISSN: 2191-222X
Series E-ISSN: 2191-2238
Edition Number: 1
Number of Pages: IX, 146
Number of Illustrations: 8 b/w illustrations, 61 illustrations in colour
Topics: Biomedicine general, Systems Biology, Bioinformatics, Computational Biology/Bioinformatics, Immunology, Cell Biology