FANMOD: a tool for fast network motif detection
نویسندگان
چکیده
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 کاملFANMOD fast network motif detection – manual –
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...
متن کاملBIOINFORMATICS APPLICATIONS NOTE 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 efficie...
متن کاملRMOD: A Tool for Regulatory Motif Detection in Signaling Network
Regulatory motifs are patterns of activation and inhibition that appear repeatedly in various signaling networks and that show specific regulatory properties. However, the network structures of regulatory motifs are highly diverse and complex, rendering their identification difficult. Here, we present a RMOD, a web-based system for the identification of regulatory motifs and their properties in...
متن کاملacc-Motif Detection Tool
Background: Network motif algorithms have been a topic of research mainly after the 2002-seminal paper from Milo et al, that provided motifs as a way to uncover the basic building blocks of most networks. In Bioinformatics, motifs have been mainly applied in the field of gene regulation networks field. Results: This paper proposes new algorithms to exactly count isomorphic pattern motifs of siz...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2006
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btl038