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


ABSTRACT: 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.

SUBMITTER: Megraw M 

PROVIDER: S-EPMC4054853 | biostudies-other | 2013 Aug

REPOSITORIES: biostudies-other

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

Megraw Molly M   Mukherjee Sayan S   Ohler Uwe U  

Genome biology 20130823 8


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 net  ...[more]

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