Computational approaches for effective CRISPR guide RNA design and evaluation-Reference-Cited by-同舟云学术

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Computational approaches for effective CRISPR guide RNA design and evaluation

Published:2020 Issue: Volume:18 Page:35-44
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Liu Guanqing,Zhang Yong,Zhang Tao

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference128 articles.

1. A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action;Abadi;PLoS Comput Biol,2017

2. RNA targeting with CRISPR-Cas13;Abudayyeh;Nature,2017

3. The CRISPR tool kit for genome editing and beyond;Adli;Nat Commun,2018

4. CRISPR-Cas9 off-targeting assessment with nucleic acid duplex energy parameters;Alkan;Genome Biol,2018

5. Predicting the mutations generated by repair of Cas9-induced double-strand breaks;Allen;Nat Biotechnol,2019

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1. Codon usage and expression-based features significantly improve prediction of CRISPR efficiency;npj Systems Biology and Applications;2024-09-03

2. CRISPR-Cas target recognition for sensing viral and cancer biomarkers;Nucleic Acids Research;2024-08-27

3. How to Shift the Equilibrium of DNA Break Repair in Favor of Homologous Recombination;Molecular Biology;2024-08

4. CRISPR Tools for Engineering Prokaryotic Systems: Recent Advances and New Applications;Annual Review of Chemical and Biomolecular Engineering;2024-07-24

5. Genes for editing to improve economic traits in aquaculture fish species;Aquaculture and Fisheries;2024-07

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