{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T19:32:23Z","timestamp":1786217543237,"version":"3.56.0"},"reference-count":14,"publisher":"Oxford University Press (OUP)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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 machine- and human-readable file formats including comma-separated values and HTML.<\/jats:p>\n               <jats:p>Availability: The tool is freely available online at and runs under Linux, Mac\u2009OS and Windows.<\/jats:p>\n               <jats:p>Contact: \u00a0wernicke@minet.uni-jena.de<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl038","type":"journal-article","created":{"date-parts":[[2006,2,3]],"date-time":"2006-02-03T01:32:45Z","timestamp":1138930365000},"page":"1152-1153","source":"Crossref","is-referenced-by-count":605,"title":["FANMOD: a tool for fast network motif detection"],"prefix":"10.1093","volume":"22","author":[{"given":"Sebastian","family":"Wernicke","sequence":"first","affiliation":[{"name":"Institut f\u00fcr Informatik, Friedrich-Schiller-Universit\u00e4t Jena \u00a0 Ernst-Abbe-Platz 2, 07743 Jena, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Rasche","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Informatik, Friedrich-Schiller-Universit\u00e4t Jena \u00a0 Ernst-Abbe-Platz 2, 07743 Jena, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2006,2,2]]},"reference":[{"key":"2023012409142936900_b1","first-page":"3346","article-title":"Conserved network motifs allow protein\u2013protein interaction prediction","volume-title":"Bioinformatics","author":"Albert","year":"2004"},{"key":"2023012409142936900_b2","first-page":"77","article-title":"Pajek\u2014analysis and visualization of large networks","volume-title":"Graph Drawing Software","author":"Batagelj","year":"2003"},{"key":"2023012409142936900_b3","first-page":"016127","article-title":"Coarse-graining and self-dissimilarity of complex networks","volume-title":"Phys. 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