Title |
iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations
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Published in |
Genome Biology, January 2017
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DOI | 10.1186/s13059-016-1138-2 |
Pubmed ID | |
Authors |
Siqi Liang, Nathaniel D. Tippens, Yaoda Zhou, Matthew Mort, Peter D. Stenson, David N. Cooper, Haiyuan Yu |
Abstract |
The mechanistic details of most disease-causing mutations remain poorly explored within the context of regulatory networks. We present a high-resolution three-dimensional integrated regulatory network (iRegNet3D) in the form of a web tool, where we resolve the interfaces of all known transcription factor (TF)-TF, TF-DNA and chromatin-chromatin interactions for the analysis of both coding and non-coding disease-associated mutations to obtain mechanistic insights into their functional impact. Using iRegNet3D, we find that disease-associated mutations may perturb the regulatory network through diverse mechanisms including chromatin looping. iRegNet3D promises to be an indispensable tool in large-scale sequencing and disease association studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 21% |
United Kingdom | 2 | 14% |
Spain | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 50% |
Members of the public | 6 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
United Kingdom | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 41 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 36% |
Student > Master | 7 | 16% |
Student > Ph. D. Student | 7 | 16% |
Student > Bachelor | 5 | 11% |
Professor | 2 | 4% |
Other | 4 | 9% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 36% |
Biochemistry, Genetics and Molecular Biology | 9 | 20% |
Computer Science | 3 | 7% |
Medicine and Dentistry | 3 | 7% |
Engineering | 2 | 4% |
Other | 4 | 9% |
Unknown | 8 | 18% |