Approaches in Integrative Bioinformatics

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Approaches in Integrative Bioinformatics provides a basic introduction to biological information systems, as well as guidance for the computational analysis of systems biology. This book also covers a range of issues and methods that reveal the multitude of omics data integration types and the relevance that integrative bioinformatics has today. Topics include biological data integration and manipulation, modeling and simulation of metabolic networks, transcriptomics and phenomics, and virtual cell approaches, as well as a number of applications of network biology. It helps to illustrate the value of integrative bioinformatics approaches to the life sciences. This book is intended for researchers and graduate students in the field of Bioinformatics. Professor Ming Chen is the Director of the Bioinformatics Laboratory at the College of Life Sciences, Zhejiang University, Hangzhou, China. Professor Ralf Hofestädt is the Chair of the Department of Bioinformatics and Medical Informatics, Bielefeld University, Germany.

Presents a summary of essential topics, basic introductions and latest developments in integrative bioinformatics Introduces a key point to understand the mechanism of life, i.e. the systems biology towards the virtual cell study Contributed by many distinguished experts worldwide

Inhalt

Part I: Introduction.- Part II: Information Fusion and Retrieval.- Part III: Network Visualization, Modeling and Analysis.- Part IV: BioData Mapping.- Part V: Biocompution.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642412806
    • Auflage 2014
    • Editor Ralf Hofestädt, Ming Chen
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H241mm x B160mm x T27mm
    • Jahr 2014
    • EAN 9783642412806
    • Format Fester Einband
    • ISBN 3642412807
    • Veröffentlichung 29.01.2014
    • Titel Approaches in Integrative Bioinformatics
    • Untertitel Towards the Virtual Cell
    • Gewicht 758g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 396
    • Lesemotiv Verstehen

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