Computational Immunology

Models and Tools

Nonfiction, Health & Well Being, Medical, Medical Science, Immunology, Computers
Cover of the book Computational Immunology by Josep Bassaganya-Riera, Elsevier Science
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Author: Josep Bassaganya-Riera ISBN: 9780128037157
Publisher: Elsevier Science Publication: October 21, 2015
Imprint: Academic Press Language: English
Author: Josep Bassaganya-Riera
ISBN: 9780128037157
Publisher: Elsevier Science
Publication: October 21, 2015
Imprint: Academic Press
Language: English

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling.

The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling.

There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability.

The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling.

  • Offers case studies with different levels of complexity
  • Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills
  • Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling.

The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling.

There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability.

The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling.

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