Computational Immunology
eBook - ePub

Computational Immunology

Models and Tools

  1. 210 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Immunology

Models and Tools

About this book

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

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Yes, you can access Computational Immunology by Josep Bassaganya-Riera in PDF and/or ePUB format, as well as other popular books in Medicine & Immunology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2015
Print ISBN
9780128036976
eBook ISBN
9780128037157
Topic
Medicine
Subtopic
Immunology

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. Chapter 1. Introduction to Computational Immunology
  7. Chapter 2. Computational Modeling
  8. Chapter 3. Use of Computational Modeling in Immunological Research
  9. Chapter 4. Immunoinformatics Cyberinfrastructure for Modeling and Analytics
  10. Chapter 5. Ordinary Differential Equations (ODEs) Based Modeling
  11. Chapter 6. Agent-Based Modeling and High Performance Computing
  12. Chapter 7. From Big Data Analytics and Network Inference to Systems Modeling
  13. Chapter 8. Multiscale Modeling: Concepts, Technologies, and Use Cases in Immunology
  14. Chapter 9. Modeling Exercises