By Björn H. Junker, Falk Schreiber

An creation to organic networks and techniques for his or her analysisAnalysis of organic Networks is the 1st e-book of its type to supply readers with a complete advent to the structural research of organic networks on the interface of biology and laptop technology. The booklet starts with a quick 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 rules networks, protein interplay networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks.Analysis of organic Networks is a self-contained advent to this crucial examine subject, assumes no professional wisdom in machine technology or biology, and is offered to execs and scholars alike. every one bankruptcy concludes with a precis of details and with routines for readers to check their figuring out of the cloth provided. also, an FTP website with hyperlinks to author-provided info for the publication is accessible for deeper study.This ebook is appropriate as a source for researchers in laptop technological know-how, biology, bioinformatics, complicated biochemistry, and the existence sciences, and in addition serves as a fantastic reference textual content for graduate-level classes in bioinformatics and organic examine.

Show description

Read or Download Analysis of Biological Networks (Wiley Series in Bioinformatics) PDF

Best bioinformatics books

Intelligent Bioinformatics: The Application of Artificial by Edward Keedwell PDF

Bioinformatics is contributing to a couple of an important advances in drugs and biology. on the vanguard of this fascinating new topic are suggestions referred to as synthetic intelligence that are encouraged incidentally during which nature solves the issues it faces. This e-book presents a distinct perception into the advanced difficulties of bioinformatics and the cutting edge strategies which make up 'intelligent bioinformatics'.

Download PDF by Lei Zhi Chen: Modelling and Optimization of Biotechnological Processes

Mostindustrialbiotechnologicalprocessesareoperatedempirically. Oneofthe significant di? culties of utilizing complex keep an eye on theories is the hugely nonlinear nature of the techniques. This booklet examines methods in keeping with arti? cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks,for tracking, modelling and optimization of fed-batch fermentation procedures.

Download PDF by David Mount: Bioinformatics: Sequence and genome analysis

The applying of computational how you can DNA and protein technology is the latest and most enjoyable new improvement in biology. "Bioinformatics: series and Genome research" is a entire useful and theoretical creation to this new self-discipline. series alignment, constitution prediction, phylogenetic and gene prediction, database looking out, and genome research are amply defined and illustrated.

Download e-book for kindle: Computational Intelligence Methods for Bioinformatics and by Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)

This e-book constitutes the completely refereed post-conferenceproceedings of the tenth overseas assembly on ComputationalIntelligence tools for Bioinformatics and Biostatistics, CIBB 2013, held in great, France in June 2013. the nineteen revised complete papers offered have been rigorously reviewed andselected from 35 submissions.

Extra info for Analysis of Biological Networks (Wiley Series in Bioinformatics)

Sample text

M. Kanehisa and S. Goto. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Research, 28:27–30, 2000. 20. F. Katagiri. Attacking complex problems with the power of systems biology. Plant Physiology, 132:417–419, 2003. 21. H. Kitano. Foundations of Systems Biology. The MIT Press, Cambridge, MA, 2001. 22. V. Kunin, L. Goldovsky, N. Darzentas, and C. A. Ouzounis. The net of life: Reconstructing the microbial phylogenetic network. Genome Research, 15:954–959, 2005. 23. T. I. Lee, N. J. Rinaldi, F.

2 GLOBAL PROPERTIES OF COMPLEX NETWORKS Following the nomenclature of Chapter 2, a network is formally represented by a graph G = (V, E), consisting of a set V of NV vertices and a set E of NE edges. We distinguish between undirected graphs, whose vertices are connected by edges without any directional information, and directed graphs (digraphs), whose edges posses directional information. Additionally, in weighted graphs, each edge (directed or undirected) is associated with a scalar value, quantifying a possible interaction strength, a cost, or a flow on the respective edge.

N. Trethewey, and L. Willmitzer. Metabolite profiling for plant functional genomics. Nature Biotechnology, 18:1157–1161, 2000. 14. C. V. Forst and K. Schulten. Phylogenetic analysis of metabolic pathways. Journal of Molecular Evolution, 52:471–489, 2001. 15. K. Havens. Scale and structure in natural food webs. Science, 257:1107–1109, 1992. 16. J. Jaeger, S. Surkova, M. Blagov, H. Janssens, D. Kosman, K. N. Kozlov, Manu, E. Myasnikova, C. E. Vanario-Alonso, M. Samsonova, D. H. Sharp, and J. Reinitz.

Download PDF sample

Rated 4.41 of 5 – based on 31 votes