Title |
Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments
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Published in |
BMC Bioinformatics, March 2017
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DOI | 10.1186/s12859-017-1581-4 |
Pubmed ID | |
Authors |
Soren H. Hough, Kris Kancleris, Leigh Brody, Neil Humphryes-Kirilov, Joseph Wolanski, Keith Dunaway, Ayokunmi Ajetunmobi, Victor Dillard |
Abstract |
Guide Picker ( https://www.deskgen.com/guide-picker/ ) serves as a meta tool for designing CRISPR experiments by presenting ten different guide RNA scoring functions in one simple graphical interface. It allows investigators to simultaneously visualize and sort through every guide targeting the protein-coding regions of any mouse or human gene. Utilizing a multidimensional graphical display featuring two plots and four axes, Guide Picker can analyze all guides while filtering based on four different criteria at a time. Guide Picker further facilitates the CRISPR design process by using pre-computed scores for all guides, thereby offering rapid guide RNA generation and selection. The ease-of-use of Guide Picker complements CRISPR itself, matching a powerful and modular biological system with a flexible online web tool that can be used in a variety of genome editing experimental contexts. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 33% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 73 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 18% |
Student > Ph. D. Student | 11 | 15% |
Student > Bachelor | 9 | 12% |
Student > Master | 6 | 8% |
Other | 5 | 7% |
Other | 15 | 21% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 27% |
Agricultural and Biological Sciences | 17 | 23% |
Engineering | 4 | 5% |
Computer Science | 4 | 5% |
Immunology and Microbiology | 3 | 4% |
Other | 8 | 11% |
Unknown | 17 | 23% |