Biology – Quantitative Biology – Molecular Networks
Scientific paper
2010-02-03
Phys. Rev. Lett. 105, 178702 (2010)
Biology
Quantitative Biology
Molecular Networks
Accepted for publication in Phys. Rev. Lett. Main article 4 pages, 2 figure; supplementary material 4 pages, 1 figure
Scientific paper
10.1103/PhysRevLett.105.178702
We introduce a method to convert an ensemble of sequences of symbols into a weighted directed network whose nodes are motifs, while the directed links and their weights are defined from statistically significant co-occurences of two motifs in the same sequence. The analysis of communities of networks of motifs is shown to be able to correlate sequences with functions in the human proteome database, to detect hot topics from online social dialogs, to characterize trajectories of dynamical systems, and might find other useful applications to process large amount of data in various fields.
Condorelli Daniele
Latora Vito
Sinatra Roberta
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