Approaches in Integrative Bioinformatics
Towards the Virtual Cell
(Sprache: Englisch)
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...
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Klappentext zu „Approaches in Integrative Bioinformatics “
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.
Inhaltsverzeichnis zu „Approaches in Integrative Bioinformatics “
Part I: Introduction.- Part II: Information Fusion and Retrieval.- Part III: Network Visualization, Modeling and Analysis.- Part IV: BioData Mapping.- Part V: Biocompution.Bibliographische Angaben
- 2017, Softcover reprint of the original 1st ed. 2014, 386 Seiten, 92 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ming Chen, Ralf Hofestädt
- Verlag: Springer, Berlin
- ISBN-10: 3662524031
- ISBN-13: 9783662524039
Sprache:
Englisch
Pressezitat
From the book reviews:"This very well-edited and coherent book can be useful both to data scientists who would like to know how their discipline can be applied to a rich domain, and also to biologists who are getting more and more convinced of the need to access sophisticated software tools to take their research forward." (Sara Kalvala, Computing Reviews, September, 2014)
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