Title |
3CPET: finding co-factor complexes from ChIA-PET data using a hierarchical Dirichlet process
|
---|---|
Published in |
Genome Biology, December 2015
|
DOI | 10.1186/s13059-015-0851-6 |
Pubmed ID | |
Authors |
Mohamed Nadhir Djekidel, Zhengyu Liang, Qi Wang, Zhirui Hu, Guipeng Li, Yang Chen, Michael Q. Zhang |
Abstract |
Various efforts have been made to elucidate the cooperating proteins involved in maintaining chromatin interactions; however, many are still unknown. Here, we present 3CPET, a tool based on a non-parametric Bayesian approach, to infer the set of the most probable protein complexes involved in maintaining chromatin interactions and the regions that they may control, making it a valuable downstream analysis tool in chromatin conformation studies. 3CPET does so by combining data from ChIA-PET, transcription factor binding sites, and protein interactions. 3CPET results show biologically significant and accurate predictions when validated against experimental and simulation data. |
X Demographics
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United States | 5 | 36% |
United Kingdom | 3 | 21% |
France | 2 | 14% |
Hungary | 1 | 7% |
Unknown | 3 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 50% |
Scientists | 6 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Japan | 2 | 4% |
Hungary | 1 | 2% |
China | 1 | 2% |
Germany | 1 | 2% |
Russia | 1 | 2% |
United States | 1 | 2% |
Unknown | 50 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 26% |
Student > Ph. D. Student | 10 | 18% |
Student > Bachelor | 6 | 11% |
Student > Master | 6 | 11% |
Professor > Associate Professor | 4 | 7% |
Other | 8 | 14% |
Unknown | 8 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 40% |
Biochemistry, Genetics and Molecular Biology | 12 | 21% |
Computer Science | 6 | 11% |
Engineering | 2 | 4% |
Chemical Engineering | 1 | 2% |
Other | 2 | 4% |
Unknown | 11 | 19% |