Read Analysis of Biological Networks (Wiley Series in Bioinformatics) by Björn H. Junker, Falk Schreiber Online
[Björn H. Junker, Falk Schreiber] ✓ Analysis of Biological Networks (Wiley Series in Bioinformatics) â Download Online eBook or Kindle ePUB. Analysis of Biological Networks (Wiley Series in Bioinformatics) Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study.This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research..
| Title | : | Analysis of Biological Networks (Wiley Series in Bioinformatics) |
| Author | : | |
| Rating | : | 4.81 (644 Votes) |
| Asin | : | B005PS507U |
| Format Type | : | |
| Number of Pages | : | 297 Pages |
| Publish Date | : | 2015-06-15 |
| Language | : | English |
"Kindle edition is not worth purchasing." according to Vinodh N. Rajapakse. This book offers a good digest of network theory and associated biological applications. I have no complaints about its content, but the Kindle edition is very poorly done. The typesetting of mathematical expressions in core chapters is mangled almost more often than not. Operators are missing and replaced with dots, as are portion. Great reference text This book is a great resource for any computer scientist who wants to work on topics related to biological networks. Although I am not biologist or bioinformatician, I believe it is a great book for life science researchers and students who would like to employ computational techniques to solve their problems related to networks in. DEEPAK SHARMA said DId not use it.. it was too concise to be useful in my class. Might be useful in yours. Preparing to sell it this fall.
Mr. Björn H. Falk Schreiber is a computer scientist who has worked in bioinformatics for more than ten years. Since 2003, he has been head of the Network Analysis Research Group at the Leibniz Institute of Plant Genetics and Crop Plant Research. He was appointed professor of bioinformatics at the Martin Luther University Halle-Wittenberg, Germany, in 2007.. His current research activities include the quantitative analysis and modeling of metabolic networks, as well as pathway
Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study.This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.. An introduction to biological networks and methods for their analysisAnalysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, an
"This book is a wonderful text for biological network analysis. This book is a must-read for entry-level students and researchers, and a complete reference source for experts." (Computing Reviews, March 6, 2009) "This book is an excellent introduction to the analysis of biological networks. The exercise provided after each chapter make the book suitable for self-study, and the extensive references provide the interested reader with good sources for further reading." (Computing Reviews, August 21, 2008). I
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