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Review of CRISPR/Cas9 sgRNA Design Tools.
Cui, Yingbo; Xu, Jiaming; Cheng, Minxia; Liao, Xiangke; Peng, Shaoliang.
Afiliação
  • Cui Y; College of Computer, National University of Defense Technology, Changsha, 410073, China.
  • Xu J; College of Computer, National University of Defense Technology, Changsha, 410073, China.
  • Cheng M; College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China.
  • Liao X; College of Computer, National University of Defense Technology, Changsha, 410073, China.
  • Peng S; College of Computer, National University of Defense Technology, Changsha, 410073, China. pengshaoliang@nudt.edu.cn.
Interdiscip Sci ; 10(2): 455-465, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29644494
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Genéticas / RNA Guia de Cinetoplastídeos / Sistemas CRISPR-Cas Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Genéticas / RNA Guia de Cinetoplastídeos / Sistemas CRISPR-Cas Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article