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Computer Science - Bioinformatics | Approaches in Integrative Bioinformatics - Towards the Virtual Cell

Approaches in Integrative Bioinformatics

Towards the Virtual Cell

Chen, Ming, Hofestädt, Ralf (Eds.)

2014, VIII, 386 p. 110 illus., 92 illus. in color. With online files/update.

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  • 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
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.

Content Level » Research

Keywords » Biological Network - Data Integration - Integrative Bioinformatics - Modeling and Simulation - Omics - Virtual Cell

Related subjects » Bioinformatics - Biophysics & Biological Physics - Database Management & Information Retrieval - Systems Biology and Bioinformatics - Theoretical Computer Science

Table of contents 

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

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