Title |
Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites
|
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Published in |
PLOS ONE, February 2008
|
DOI | 10.1371/journal.pone.0001623 |
Pubmed ID | |
Authors |
Troels T. Marstrand, Jes Frellsen, Ida Moltke, Martin Thiim, Eivind Valen, Dorota Retelska, Anders Krogh |
Abstract |
In studies of gene regulation the efficient computational detection of over-represented transcription factor binding sites is an increasingly important aspect. Several published methods can be used for testing whether a set of hypothesised co-regulated genes share a common regulatory regime based on the occurrence of the modelled transcription factor binding sites. However there is little or no information available for guiding the end users choice of method. Furthermore it would be necessary to obtain several different software programs from various sources to make a well-founded choice. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 5% |
Portugal | 1 | 2% |
Norway | 1 | 2% |
Sweden | 1 | 2% |
Australia | 1 | 2% |
Denmark | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 53 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 29% |
Student > Ph. D. Student | 16 | 26% |
Student > Master | 10 | 16% |
Professor > Associate Professor | 7 | 11% |
Other | 3 | 5% |
Other | 4 | 6% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 63% |
Biochemistry, Genetics and Molecular Biology | 10 | 16% |
Computer Science | 5 | 8% |
Medicine and Dentistry | 2 | 3% |
Neuroscience | 1 | 2% |
Other | 0 | 0% |
Unknown | 5 | 8% |