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Open Access Method

Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits

Molly Megraw, Sayan Mukherjee and Uwe Ohler

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Genome Biology 2013, 14:R85 doi:10.1186/gb-2013-14-8-r85

Published: 23 August 2013

Abstract (provisional)

WaRSwap is a randomization algorithm that for the first time provides a practical network motif discovery method for large multi-layer networks, for example those that include transcription factors, microRNAs, and non-regulatory protein coding genes. The algorithm is applicable to systems with tens of thousands of genes, while accounting for critical aspects of biological networks, including self-loops, large hubs, and target rearrangements. We validate WaRSwap on a newly inferred regulatory network from Arabidopsis thaliana, and compare outcomes on published Drosophila and human networks. Specifically, sustained input switches are among the few over-represented circuits across this diverse set of eukaryotes.

The complete article is available as a provisional PDF. The fully formatted PDF and HTML versions are in production.


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