Literature DB >> 16455747

FANMOD: a tool for fast network motif detection.

Sebastian Wernicke1, Florian Rasche.   

Abstract

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.

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Year:  2006        PMID: 16455747     DOI: 10.1093/bioinformatics/btl038

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


  134 in total

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Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

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Journal:  Genome Res       Date:  2012-01-26       Impact factor: 9.043

3.  Biological network motif detection: principles and practice.

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Journal:  Brief Bioinform       Date:  2011-06-20       Impact factor: 11.622

4.  Biological role of noise encoded in a genetic network motif.

Authors:  Mark Kittisopikul; Gürol M Süel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

Review 5.  Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants.

Authors:  Molly Megraw; Jason S Cumbie; Maria G Ivanchenko; Sergei A Filichkin
Journal:  Plant Cell       Date:  2016-02-11       Impact factor: 11.277

6.  Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks.

Authors:  Avi Ma'ayan; Guillermo A Cecchi; John Wagner; A Ravi Rao; Ravi Iyengar; Gustavo Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-25       Impact factor: 11.205

7.  Stability from structure: metabolic networks are unlike other biological networks.

Authors:  P van Nes; D Bellomo; M J T Reinders; D de Ridder
Journal:  EURASIP J Bioinform Syst Biol       Date:  2009-02-01

8.  Artefacts in statistical analyses of network motifs: general framework and application to metabolic networks.

Authors:  Moritz Emanuel Beber; Christoph Fretter; Shubham Jain; Nikolaus Sonnenschein; Matthias Müller-Hannemann; Marc-Thorsten Hütt
Journal:  J R Soc Interface       Date:  2012-08-15       Impact factor: 4.118

9.  SubMAP: aligning metabolic pathways with subnetwork mappings.

Authors:  Ferhat Ay; Manolis Kellis; Tamer Kahveci
Journal:  J Comput Biol       Date:  2011-03       Impact factor: 1.479

10.  Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions.

Authors:  Javier Carrera; Guillermo Rodrigo; Alfonso Jaramillo; Santiago F Elena
Journal:  Genome Biol       Date:  2009-09-15       Impact factor: 13.583

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