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Mendeley readers
| Title |
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data
|
|---|---|
| Published in |
BMC Systems Biology, December 2013
|
| DOI | 10.1186/1752-0509-7-s6-s16 |
| Pubmed ID | |
| Authors |
Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold Rudnicki, Bartek Wilczyński |
| Abstract |
Transcriptional regulation in multi-cellular organisms is a complex process involving multiple modular regulatory elements for each gene. Building whole-genome models of transcriptional networks requires mapping all relevant enhancers and then linking them to target genes. Previous methods of enhancer identification based either on sequence information or on epigenetic marks have different limitations stemming from incompleteness of each of these datasets taken separately. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Finland | 1 | 3% |
| Hong Kong | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 30 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 44% |
| Student > Ph. D. Student | 10 | 29% |
| Student > Bachelor | 1 | 3% |
| Professor | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 38% |
| Computer Science | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Physics and Astronomy | 2 | 6% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 21% |