Immunological bioinformatics

Title:

Author:

Lund, Ole.

ISBN:

9781628708615

Physical Description:

1 online resource (xii, 296 pages, 24 unnumbered pages of plates) : illustrations (some color).

Series:

Computational molecular biology

Computational molecular biology.

Contents:

Immune systems and systems biology -- Contemporary challenges to the immune system -- Sequence analysis in immunology -- Methods applied in immunological bioinformatics -- DNA microarrays in immunology -- Prediction of cytotoxic T cell (MHC class I) epitopes -- Antigen processing in the MHC class I pathway -- Prediction of helper T cell (MHC class II) epitopes -- Processing of MHC class II epitopes -- B cell epitopes -- Vaccine design -- Web-based tools for vaccine design -- MHC polymorphism -- Predicting immunogenicity : an integrative approach.

Abstract:

"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes."--BOOK JACKET.

Subject Term:

Immunoinformatics.

Molecular biology -- Computer simulation.

Immunology -- Mathematical models.

Neural networks (Computer science)

Machine learning.

Bioinformatics.

Computational Biology -- methods.

Immune System.

Neural Networks (Computer)

Genre:

Electronic books.