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Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites

Overview of attention for article published in PLOS ONE, February 2008
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Title
Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites
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

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%