Review of CRISPR/Cas9 sgRNA Design Tools

• Published in: Interdisciplinary sciences : computational life sciences Vol. 10; no. 2; pp. 455 - 465
• Main Authors: Cui, Yingbo, Xu, Jiaming, Cheng, Minxia, Liao, Xiangke, Peng, Shaoliang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018; Springer Nature B.V
• Subjects: Adaptive immunity; Adaptive systems; Animals; Archaea; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Appl. in Life Sciences; CRISPR; CRISPR-Cas Systems - genetics; Design; Design parameters; Design specifications; Gene Editing; Genetic modification; Genetic Techniques; Genome editing; Genomes; Health Sciences; Humans; Immunity; Life Sciences; Mathematical and Computational Physics; Medicine; Prediction models; Review; Ribonucleic acid; RNA; RNA, Guide, CRISPR-Cas Systems - metabolism; Statistics for Life Sciences; Target detection; Theoretical; Theoretical and Computational Chemistry; Off-target detection; CRISPR; CRISPR/Cas9; On-target efficiency; SgRNA design
• ISSN: 1913-2751; 1867-1462; 1867-1462
• DOI: 10.1007/s12539-018-0298-z

The adaptive immunity system in bacteria and archaea, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-associate (CRISPR/Cas), has been adapted as a powerful gene editing tool and got a broad application in genome research field due to its ease of use and cost-effectiveness. The performance of CRISPR/Cas relies on well-designed single-guide RNA (sgRNA), so a lot of bioinformatic tools have been developed to assist the design of highly active and specific sgRNA. These tools vary in design specifications, parameters, genomes and so on. To help researchers to choose their proper tools, we reviewed various sgRNA design tools, mainly focusing on their on-target efficiency prediction model and off-target detection algorithm.