Title |
Chromatin Accessibility Data Sets Show Bias Due to Sequence Specificity of the DNase I Enzyme
|
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Published in |
PLOS ONE, July 2013
|
DOI | 10.1371/journal.pone.0069853 |
Pubmed ID | |
Authors |
Hashem Koohy, Thomas A. Down, Tim J. Hubbard |
Abstract |
DNase I is an enzyme which cuts duplex DNA at a rate that depends strongly upon its chromatin environment. In combination with high-throughput sequencing (HTS) technology, it can be used to infer genome-wide landscapes of open chromatin regions. Using this technology, systematic identification of hundreds of thousands of DNase I hypersensitive sites (DHS) per cell type has been possible, and this in turn has helped to precisely delineate genomic regulatory compartments. However, to date there has been relatively little investigation into possible biases affecting this data. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 50% |
Spain | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Netherlands | 1 | 1% |
Germany | 1 | 1% |
Denmark | 1 | 1% |
United Kingdom | 1 | 1% |
Unknown | 92 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 37% |
Researcher | 22 | 22% |
Student > Bachelor | 9 | 9% |
Student > Master | 6 | 6% |
Professor > Associate Professor | 5 | 5% |
Other | 13 | 13% |
Unknown | 7 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 45% |
Biochemistry, Genetics and Molecular Biology | 31 | 32% |
Computer Science | 3 | 3% |
Chemistry | 2 | 2% |
Physics and Astronomy | 2 | 2% |
Other | 5 | 5% |
Unknown | 11 | 11% |