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Computational immunology : models and tools / edited by Josep Bassaganya-Riera ; contributors Vida Abedi [and eighteen others].

Contributor(s): Material type: TextTextPublisher: Amsterdam, [Netherlands] : Academic Press, 2016Copyright date: ©2016Description: 1 online resource (212 pages) : illustrations, tablesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780128037157 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Computational immunology : models and tools.DDC classification:
  • 616.0790285 23
LOC classification:
  • QR182.2.I46 .C667 2016
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA10001135
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA10001135
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA10001135
Total holds: 0

Enhanced descriptions from Syndetics:

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

Includes bibliographical references at the end of each chapters.

Description based on online resource; title from PDF title page (ebrary, viewed November 18, 2015).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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