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Immunoinformatics

  • Namrata Tomar
Book

Part of the Methods in Molecular Biology book series (MIMB, volume 2131)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Amol M. Kanampalliwar
    Pages 1-16
  3. Hiba Siddig Ibrahim, Shamsoun Khamis Kafi
    Pages 39-145
  4. Ivan Dimitrov, Irini Doytchinova
    Pages 147-153
  5. Jayashree Ramana, Kusum Mehla
    Pages 155-171
  6. Kumari Snehkant Lata, Vibhisha Vaghasia, Shivarudrappa Bhairappanvar, Saumya Patel, Jayashankar Das
    Pages 173-184
  7. Lainie Beauchemin, Michael Slifker, David Rossell, Joan Font-Burgada
    Pages 185-198
  8. Winfrey Pui Yee Hoo, Pui Yan Siak, Lionel L. A. In
    Pages 213-228
  9. Illarion V. Turko
    Pages 245-254
  10. Priti Desai, Divya Tarwadi, Bhargav Pandya, Bhrugu Yagnik
    Pages 265-275
  11. Bo Yao, Dandan Zheng, Shide Liang, Chi Zhang
    Pages 299-307
  12. Saptarshi Sinha, Rajdeep Kaur Grewal, Soumen Roy
    Pages 309-327
  13. Arabinda Ghosh, Tridip Phukan, Surabhi Johari, Ashwani Sharma, Abha Vashista, Subrata Sinha
    Pages 329-347
  14. Dan Wang, Yupeng Zhang, Qing Meng, Xiaobo Yu
    Pages 365-374
  15. Marta Gomez-Perosanz, Alvaro Ras-Carmona, Pedro A. Reche
    Pages 399-406
  16. Back Matter
    Pages 407-409

About this book

Introduction

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. 

Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.

Keywords

Epitope prediction Mathematical modeling Network analysis Statistical techniques Vaccine design Immune systems biology

Editors and affiliations

  • Namrata Tomar
    • 1
  1. 1.Department of BioMedical EngineeringMedical College of WisconsinMilwaukeeUSA

Bibliographic information

  • DOI http://doi.org/10.1007/978-1-0716-0389-5
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2020
  • Publisher Name Humana, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-0716-0388-8
  • Online ISBN 978-1-0716-0389-5
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site