Analysis of Biological Networks (Wiley Series in by Björn H. Junker, Falk Schreiber

By Björn H. Junker, Falk Schreiber

An advent to organic networks and strategies for his or her analysisAnalysis of organic Networks is the 1st ebook of its style to supply readers with a complete advent to the structural research of organic networks on the interface of biology and computing device technology. The booklet starts off with a short evaluation of organic networks and graph theory/graph algorithms and is going directly to discover: international community homes, community centralities, community motifs, community clustering, Petri nets, sign transduction and gene law networks, protein interplay networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks.Analysis of organic Networks is a self-contained creation to this significant learn subject, assumes no professional wisdom in computing device technological know-how or biology, and is out there to pros and scholars alike. each one bankruptcy concludes with a precis of details and with routines for readers to check their knowing of the fabric offered. also, an FTP web site with hyperlinks to author-provided facts for the ebook is out there for deeper study.This ebook is acceptable as a source for researchers in desktop technological know-how, biology, bioinformatics, complex biochemistry, and the lifestyles sciences, and in addition serves as an awesome reference textual content for graduate-level classes in bioinformatics and organic examine.

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Strogatz. Collective dynamics of small-world networks. Nature, 393(6684):440–442, 1998. 1 INTRODUCTION Complex dynamical systems are often characterized by a large number of nonlinearly interacting elements, giving rise to emergent properties that transcend the principle of linear superposition. In particular, within the biological sciences, one of the primary challenges is to investigate how the collective behavior of cells, tissues, or organisms can be understood in terms of the properties of their molecular constituents.

L. Barab´asi. Emergence of scaling in complex networks. In S. Bornholdt and H. G. Schuster, editors, Handbook of Graphs and Networks, pp. 69–84. Wiley-VCH, Weinheim (Germany) 2003. 5. -L. Barab´asi and R. Albert. Emergence of scaling in random networks. Science, 286:509–512, 1999. REFERENCES 13 6. S. Bergmann, J. Ihmels, and N. Barkai. Similarities and differences in genomewide expression data of six organisms. PLoS Biology, 2:85–93, 2004. 7. U. S. Bhalla and R. Iyengar. Emergent properties of networks of biological pathways.

Jeong, S. P. Mason, A. L. Barab´asi, and Z. N. Oltvai. Lethality and centrality in protein networks. Nature, 411(6833):41–42, 2001. 6. D. Jungnickel. Graphs, Networks and Algorithms, volume 5 of Algorithms and Computation in Mathematics. Springer-Verlag, Berlin, 2002. 7. D. E. Knuth. The Art of Programming: Sorting and Searching (Volume 3), AddisonWesley, Reading, MA, 1998. 8. R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon. Network motifs: Simple building blocks of complex networks.

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