Your browser doesn't support javascript.
loading
DeepCRISPR: optimized CRISPR guide RNA design by deep learning.
Chuai, Guohui; Ma, Hanhui; Yan, Jifang; Chen, Ming; Hong, Nanfang; Xue, Dongyu; Zhou, Chi; Zhu, Chenyu; Chen, Ke; Duan, Bin; Gu, Feng; Qu, Sheng; Huang, Deshuang; Wei, Jia; Liu, Qi.
Afiliação
  • Chuai G; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Ma H; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Yan J; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
  • Chen M; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Hong N; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Xue D; R&D Information, Innovation Center China, AstraZeneca, 199 Liangjing Road, Shanghai, 201203, China.
  • Zhou C; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Zhu C; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Chen K; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Duan B; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Gu F; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Qu S; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Huang D; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
  • Wei J; Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 20009, China.
  • Liu Q; Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 20009, China.
Genome Biol ; 19(1): 80, 2018 06 26.
Article em En | MEDLINE | ID: mdl-29945655
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/ .
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Guia de Cinetoplastídeos / Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas / Sistemas CRISPR-Cas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Guia de Cinetoplastídeos / Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas / Sistemas CRISPR-Cas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China