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Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9
Published on: January 3, 2015
96.5K
Crisflash: open-source software to generate CRISPR guide RNAs against genomes annotated with individual variation.
Adrien L S Jacquin1,2, Duncan T Odom1, Margus Lukk1
1Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK and.
Bioinformatics (Oxford, England)
|January 17, 2019
Summary
Crisflash is a new software tool for designing CRISPR guides, enabling rapid genome modification even with custom variant data. It offers fast performance and accurate off-target scoring for large-scale genomic projects.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- CRISPR/Cas9 gene editing relies on short guide RNAs (sgRNAs) for precise DNA targeting.
- Existing sgRNA design tools often lack flexibility, primarily supporting standard reference genomes and small-scale applications.
Purpose of the Study:
- To develop a high-performance software tool, Crisflash, for efficient sgRNA design and off-target analysis.
- To overcome the limitations of current tools by enabling rapid design against any genome and incorporating variant data.
Main Methods:
- Crisflash was developed as a flexible software tool for sgRNA design and off-target discovery.
- The tool was optimized for speed and performance, capable of analyzing any sequenced genome or genome sequences.
- Incorporation of user-supplied variant data allows for enhanced guide accuracy.
Main Results:
- Crisflash demonstrates over an order of magnitude improvement in speed compared to existing tools, even on a single CPU core.
- The software efficiently and robustly scores potential off-target effects for all candidate sgRNAs.
- Enables rapid design of CRISPR guides against diverse genomic targets.
Conclusions:
- Crisflash provides a significant advancement in CRISPR/Cas9 sgRNA design, offering speed, flexibility, and accuracy.
- The tool is well-suited for both small-scale and large-scale genomic research, including projects with non-standard reference genomes or specific variant data.
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