title: FANMOD: a tool for fast network motif detection.
abstract: 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 machine- and human-readable file formats including comma-separated values and HTML.
authors.affiliation: Institut für Informatik, Friedrich-Schiller-Universität Jena Ernst-Abbe-Platz 2, 07743 Jena, Germany. wernicke@minet.uni-jena.de
authors.forename: Sebastian
authors.initials: S
authors.lastname: Wernicke
authors.forename: Florian
authors.initials: F
authors.lastname: Rasche
mesh_terms: D020816:Amino Acid Motifs; D002468:Cell Physiological Phenomena; D003196:Computer Graphics; D003198:Computer Simulation; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D014584:User-Computer Interface