Novartis Foundation Symposium 254 - Immunoinformatics - Bioinformatic Strategies for Better Understanding of Immune Function
by Novartis (9780470853566)

Novartis Foundation Symposium 254 - Immunoinformatics - Bioinformatic Strategies for Better Understanding of Immune Function
by Novartis (9780470853566)

Novartis Foundation Symposium 254 - Immunoinformatics - Bioinformatic Strategies for Better Understanding of Immune Function

Novartis Foundation Symposium 254 - Immunoinformatics - Bioinformatic Strategies for Better Understanding of Immune Function (Book)

Novartis
Release Date: 21 Oct 2003
Format: Hardback
Pages: 272
ISBN: 9780470853566
ISBN-10: 0470853565

The astounding diversity of the immune system and the complexity of its regulatory pathways makes immunology a combinatorial science. Computational analysis has therefore become an essential element of immunology research and this has led to the creation of the emerging field of immunoinformatics. This book is the first to feature thorough coverage of this new field. Immunoinformatics facilitates the understanding of immune function by modelling the interactions among immunological components. Biological research provides ever deeper insights into the complexity of living organisms while computer science provides an effective means to store and analyse large volumes of complex data. Combining the two fields increases the efficiency of biological research and offers the potential for major advances in the study of biological systems. This book encompasses key developments in immunoinformatics, including immunological databases, sequence analysis, structure modelling, mathematical modelling of the immune system, simulation of laboratory experiments, statistical support for immunological experimentation and immunogenomics. The difficulties in effective application of bioinformatic tools in immunology arise at both ends of the spectrum: most immunologists have only a limited comprehension of sophisticated data analysis and applicability and limitations, while the average computer scientist lacks knowledge of the depth and complexity of biological data. The purpose of this book, therefore, is

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