BIOINFORMATICS APPLICATIONS NOTE FANMOD: a tool for fast network motif detection
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چکیده
Summary: Motifs are small connected subnetworks that a network displays in significantly higher frequencies than would be expected for a random network. They have recently gathered much attention as a concept to uncover structural design principles of complex biological networks. FANMOD is a tool for fast network motif detection; it relies on recently developed algorithms to improve the efficiency of network motif detection by some orders of magnitude over existing tools. This facilitates the detection of larger motifs in bigger networks than previously possible. Additional benefits of FANMOD are the ability to analyze colored networks, a graphical user interface, and the ability to export results to a variety of machineand human-readable file formats including comma-separated values and HTML. Availability: The tool is freely available online at http://www.minet.unijena.de/ ̃wernicke/motifs/ and runs under Linux, Mac OS, and Windows. Contact: [email protected]
منابع مشابه
FANMOD: a tool for fast network motif detection
SUMMARY Motifs are small connected subnetworks that a network displays in significantly higher frequencies than would be expected for a random network. They have recently gathered much attention as a concept to uncover structural design principles of complex biological networks. FANMOD is a tool for fast network motif detection; it relies on recently developed algorithms to improve the efficien...
متن کاملacc-Motif Detection Tool
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fanmod [6] is a tool for finding so-called networks motifs in a network, that is, it finds small vertex-induced subgraphs that occur significantly more often than in random networks. For a general introduction to the concept of network motifs, see [3, 2]. fanmod is able to search for network motifs of size between three and eight vertices. It can also analyze colored networks, allowing the user...
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Network motifs in a given network are small connected subnetworks that occur at significantly higher frequencies thanwould be expected for a randomnetwork. In their 2007 article ‘‘An optimal algorithm for counting network motifs’’, Itzhack, Mogilevski, and Louzoun present an algorithm for detecting network motifs. Based on an experimental comparison with a motif detection software called FANMOD...
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Network motifs are small connected subnetworks within a larger network that occur in statistically significant quantities and may indicate functional regions of the network. Network motif software tools employ algorithms that compare a network to randomly generated networks in order to identify subnetworks that occur in frequencies higher than would be expected by random chance. The transcripti...
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تاریخ انتشار 2006