AIMC Topic: RNA, Guide, CRISPR-Cas Systems

Clear Filters Showing 41 to 43 of 43 articles

Uncertainty-aware and interpretable evaluation of Cas9-gRNA and Cas12a-gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning.

Nucleic acids research Jan 25, 2022
The choice of guide RNA (gRNA) for CRISPR-based gene targeting is an essential step in gene editing applications, but the prediction of gRNA specificity remains challenging. Lack of transparency and focus on point estimates of efficiency disregarding...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning Genomics CRISPR-Cas Systems Gene Editing Gene Targeting RNA, Guide, CRISPR-Cas Systems
View on PubMed DOI

CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.

Bioinformatics (Oxford, England) Jul 12, 2021
MOTIVATION: CRISPR/Cas9 is a revolutionary gene-editing technology that has been widely utilized in biology, biotechnology and medicine. CRISPR/Cas9 editing outcomes depend on local DNA sequences at the target site and are thus predictable. However, ...
Neural Networks, Computer Deep Learning CRISPR-Cas Systems Clustered Regularly Interspaced Short Palindromic Repeats Gene Editing RNA, Guide, CRISPR-Cas Systems
View on PubMed DOI

GNL-Scorer: a generalized model for predicting CRISPR on-target activity by machine learning and featurization.

Journal of molecular cell biology Dec 3, 2020
Humans Machine Learning Software Models, Genetic Regression Analysis Bayes Theorem CRISPR-Cas Systems RNA, Guide, CRISPR-Cas Systems
View on PubMed DOI
Popular Topics
Recent Journals