Literature DB >> 16403796

Copying nodes versus editing links: the source of the difference between genetic regulatory networks and the WWW.

Yoram Louzoun1, Lev Muchnik, Sorin Solomon.   

Abstract

UNLABELLED: We study two kinds of networks: genetic regulatory networks and the World Wide Web. We systematically test microscopic mechanisms to find the set of such mechanisms that optimally explain each networks' specific properties. In the first case we formulate a model including mainly random unbiased gene duplications and mutations. In the second case, the basic moves are website generation and rapid surf-induced link creation (/destruction). The different types of mechanisms reproduce the appropriate observed network properties. We use those to show that different kinds of networks have strongly system-dependent macroscopic experimental features. The diverging properties result from dissimilar node and link basic dynamics. The main non-uniform properties include the clustering coefficient, small-scale motifs frequency, time correlations, centrality and the connectivity of outgoing links. Some other features are generic such as the large-scale connectivity distribution of incoming links (scale-free) and the network diameter (small-worlds). The common properties are just the general hallmark of autocatalysis (self-enhancing processes), while the specific properties hinge on the specific elementary mechanisms. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Online.

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Year:  2006        PMID: 16403796     DOI: 10.1093/bioinformatics/btk030

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

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Journal:  J Biol Phys       Date:  2009-03-27       Impact factor: 1.365

2.  Towards a dynamical network view of brain ischemia and reperfusion. Part IV: additional considerations.

Authors:  Donald J Degracia
Journal:  J Exp Stroke Transl Med       Date:  2010-03-15

3.  Rank-based edge reconstruction for scale-free genetic regulatory networks.

Authors:  Guanrao Chen; Peter Larsen; Eyad Almasri; Yang Dai
Journal:  BMC Bioinformatics       Date:  2008-01-31       Impact factor: 3.169

4.  Comparative analysis of the transcription-factor gene regulatory networks of E. coli and S. cerevisiae.

Authors:  Lev Guzmán-Vargas; Moisés Santillán
Journal:  BMC Syst Biol       Date:  2008-01-31
  4 in total

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