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Mendeley readers
| Title |
Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits
|
|---|---|
| Published in |
Genome Biology, August 2013
|
| DOI | 10.1186/gb-2013-14-8-r85 |
| Pubmed ID | |
| Authors |
Molly Megraw, Sayan Mukherjee, Uwe Ohler |
| 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 50 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 12 | 21% |
| Professor | 8 | 14% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 48% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Computer Science | 7 | 13% |
| Mathematics | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 5 | 9% |