Title |
DeepCRISPR: optimized CRISPR guide RNA design by deep learning
|
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Published in |
Genome Biology, June 2018
|
DOI | 10.1186/s13059-018-1459-4 |
Pubmed ID | |
Authors |
Guohui Chuai, Hanhui Ma, Jifang Yan, Ming Chen, Nanfang Hong, Dongyu Xue, Chi Zhou, Chenyu Zhu, Ke Chen, Bin Duan, Feng Gu, Sheng Qu, Deshuang Huang, Jia Wei, Qi Liu |
Abstract |
A major challenge for effective application of CRISPR systems is to accurately predict the single guide RNA (sgRNA) on-target knockout efficacy and off-target profile, which would facilitate the optimized design of sgRNAs with high sensitivity and specificity. Here we present DeepCRISPR, a comprehensive computational platform to unify sgRNA on-target and off-target site prediction into one framework with deep learning, surpassing available state-of-the-art in silico tools. In addition, DeepCRISPR fully automates the identification of sequence and epigenetic features that may affect sgRNA knockout efficacy in a data-driven manner. DeepCRISPR is available at http://www.deepcrispr.net/ . |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 23% |
United Kingdom | 3 | 9% |
Germany | 3 | 9% |
Australia | 3 | 9% |
Chile | 2 | 6% |
Russia | 1 | 3% |
Japan | 1 | 3% |
Unknown | 14 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 66% |
Scientists | 10 | 29% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 377 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 70 | 19% |
Student > Ph. D. Student | 63 | 17% |
Student > Master | 32 | 8% |
Student > Bachelor | 29 | 8% |
Student > Doctoral Student | 19 | 5% |
Other | 46 | 12% |
Unknown | 118 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 89 | 24% |
Agricultural and Biological Sciences | 55 | 15% |
Computer Science | 33 | 9% |
Medicine and Dentistry | 10 | 3% |
Engineering | 9 | 2% |
Other | 50 | 13% |
Unknown | 131 | 35% |