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RECOMB
2007
Springer

Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking

9 years 3 months ago
Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking
The study of biological networks and network motifs can yield significant new insights into systems biology. Previous methods of discovering network motifs ? network-centric subgraph enumeration and sampling ? have been limited to motifs of 6 to 8 nodes, revealing only the smallest network components. New methods are necessary to identify larger network sub-structures and functional motifs. Here we present a novel algorithm for discovering large network motifs that achieves these goals, based on a novel symmetry-breaking technique, which eliminates repeated isomorphism testing, leading to an exponential speed-up over previous methods. This technique is made possible by reversing the traditional network-based search at the heart of the algorithm to a motif-based search, which also eliminates the need to store all motifs of a given size and enables parallelization and scaling. Additionally, our method enables us to study the clustering properties of discovered motifs, revealing even larg...
Joshua A. Grochow, Manolis Kellis
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2007
Where RECOMB
Authors Joshua A. Grochow, Manolis Kellis
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