Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits.
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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.
Gene Expression Regulation
Gene Regulatory Networks
Molecular Sequence Annotation
Nucleic Acid Conformation
Published Version (Please cite this version)10.1186/gb-2013-14-8-r85
Publication InfoMegraw, M; Mukherjee, Sayan; & Ohler, Uwe (2013). Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits. Genome Biol, 14(8). pp. R85. 10.1186/gb-2013-14-8-r85. Retrieved from https://hdl.handle.net/10161/10584.
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Professor of Statistical Science
Adjunct Associate Professor in the Department of Biostatistics and Bioinformatics
Computational Biology of Gene Regulation Sequence Analysis Image Expression Analysis Applied Machine Learning
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