In Silico Immunology

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  • In Silico Immunology Book Detail

  • Author : Darren D.R. Flower
  • Release Date : 2007-04-16
  • Publisher : Springer Science & Business Media
  • Genre : Medical
  • Pages : 453
  • ISBN 13 : 0387392416
  • File Size : 64,64 MB

In Silico Immunology by Darren D.R. Flower PDF Summary

Book Description: This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems. It details how these disciplines will enable new understanding to emerge from the analysis of complex datasets. Coverage shows how these three are set to transform immunological science and the future of health care.

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In Silico Immunology

In Silico Immunology

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This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunolog

Immunoinformatics

Immunoinformatics

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This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses data

Immunoinformatics

Immunoinformatics

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The astounding diversity of the immune system and the complexity of its regulatory pathways makes immunology a combinatorial science. Computational analysis has

Immunoinformatics

Immunoinformatics

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This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MH

Artificial Immune Systems

Artificial Immune Systems

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This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August