DeepCRISPR: optimized CRISPR guide RNA design by deep learning.
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/ .
Palavras-chave
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