MotifNet: a web-server for network motif analysis.
CONCLUSIONS
Network motifs are small topological patterns that recur in a network significantly more often than expected by chance. Their identification emerged as a powerful approach for uncovering the design principles underlying complex networks. However, available tools for network motif analysis typically require download and execution of computationally intensive software on a local computer. We present MotifNet, the first open-access web-server for network motif analysis. MotifNet allows researchers to analyze integrated networks, where nodes and edges may be labeled, and to search for motifs of up to eight nodes. The output motifs are presented graphically and the user can interactively filter them by their significance, number of instances, node and edge labels, and node identities, and view their instances. MotifNet also allows the user to distinguish between motifs that are centered on specific nodes and motifs that recur in distinct parts of the network.


METHODS
MotifNet is freely available at http://netbio.bgu.ac.il/motifnet . The website was implemented using ReactJs and supports all major browsers. The server interface was implemented in Python with data stored on a MySQL database.


BACKGROUND
estiyl@bgu.ac.il or michaluz@cs.bgu.ac.il.


BACKGROUND
Supplementary data are available at Bioinformatics online.
Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.|National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ilan Y
IY
Smoly
Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Eugene
E
Lerman
Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Michal
M
Ziv-Ukelson
National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.|Department of Clinical Biochemistry and Pharmacology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Esti
E
Yeger-Lotem
D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D020407:Internet; D012984:Software