• Rajat K. De
  • Namrata Tomar

Part of the Methods in Molecular Biology book series (MIMB, volume 1184)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Immunoinformatics: Transition from Basic Biology to Informatics

    1. Front Matter
      Pages 1-1
    2. Namrata Tomar, Rajat K. De
      Pages 3-12
    3. Namrata Tomar, Rajat K. De
      Pages 13-21
    4. Namrata Tomar, Rajat K. De
      Pages 23-55
  3. Databases

    1. Front Matter
      Pages 57-57
    2. James Robinson, Jason A. Halliwell, Steven G. E. Marsh
      Pages 109-121
    3. Chun-Wei Tung
      Pages 123-134
    4. Juan Liu, Wen Zhang
      Pages 135-148
    5. Urmila Kulkarni-Kale, Snehal Raskar-Renuse, Girija Natekar-Kalantre, Smita A. Saxena
      Pages 149-164
    6. Gaurab Sircar, Debasree Sarkar, Swati Gupta Bhattacharya, Sudipto Saha
      Pages 165-181
  4. Tools for Prediction

    1. Front Matter
      Pages 183-183
    2. Wen Zhang, Yanqing Niu, Yi Xiong, Meng Ke
      Pages 185-196
    3. Jianzhao Gao, Lukasz Kurgan
      Pages 197-215
    4. Jian Huang, Bifang He, Peng Zhou
      Pages 237-243
    5. Salvador Eugenio C. Caoili
      Pages 245-283
    6. Yasser EL-Manzalawy, Vasant Honavar
      Pages 285-294
    7. Sanne M. M. Hensen, Merel Derksen, Ger J. M. Pruijn
      Pages 295-308

About this book


At the intersection of experimental and computational sciences, the second edition of Immunoinformatics provides biological insights as well as a simpler way to implement approaches and algorithms in the immunoinformatics research domain. After an introductory section, this extensive volume moves on to cover topics such as databases, tools for prediction, systems biology approaches, as well as a variety of immunoinformatics applications.  As part of the highly successful Methods in Molecular Biology series, chapters include the type of detailed information and implementation advice to ensure successful results.


Comprehensive and practical, Immunoinformatics, Second Edition aims at students and researchers from diverse backgrounds and levels interested in working with immunological problems.


Computational tools Computer-aided research Immune system Immunological data Immunological process modeling Immunomics

Editors and affiliations

  • Rajat K. De
    • 1
  • Namrata Tomar
    • 2
  1. 1.Indian Statistical InstituteKolkataIndia
  2. 2.Indian Statistical InstituteKolkataIndia

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-1114-1
  • Online ISBN 978-1-4939-1115-8
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book
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