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CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions

The development of the CRISPR-Cas9 technology has provided a simple yet powerful system for genome editing. Current gRNA design tools serve as an important platform for the efficient application of the CRISPR systems. However, most of the existing tools are black-box models that suffer from limitati...

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Autores principales: Konstantakos, Vasileios, Nentidis, Anastasios, Krithara, Anastasia, Paliouras, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252759/
https://www.ncbi.nlm.nih.gov/pubmed/35670672
http://dx.doi.org/10.1093/nar/gkac466
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author Konstantakos, Vasileios
Nentidis, Anastasios
Krithara, Anastasia
Paliouras, Georgios
author_facet Konstantakos, Vasileios
Nentidis, Anastasios
Krithara, Anastasia
Paliouras, Georgios
author_sort Konstantakos, Vasileios
collection PubMed
description The development of the CRISPR-Cas9 technology has provided a simple yet powerful system for genome editing. Current gRNA design tools serve as an important platform for the efficient application of the CRISPR systems. However, most of the existing tools are black-box models that suffer from limitations, such as variable performance and unclear mechanism of decision making. Here, we introduce CRISPRedict, an interpretable gRNA efficiency prediction model for CRISPR-Cas9 gene editing. Its strength lies in the fact that it can accurately predict efficient guide RNAs—with equivalent performance to state-of-the-art tools—while being a simple linear model. Implemented as a user-friendly web server, CRISPRedict offers (i) quick and accurate predictions across various experimental conditions (e.g. U6/T7 transcription); (ii) regression and classification models for scoring gRNAs and (iii) multiple visualizations to explain the obtained results. Given its performance, interpretability, and versatility, we expect that it will assist researchers in the gRNA design process and facilitate genome editing research. CRISPRedict is available for use at http://www.crispredict.org/.
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spelling pubmed-92527592022-07-05 CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions Konstantakos, Vasileios Nentidis, Anastasios Krithara, Anastasia Paliouras, Georgios Nucleic Acids Res Web Server Issue The development of the CRISPR-Cas9 technology has provided a simple yet powerful system for genome editing. Current gRNA design tools serve as an important platform for the efficient application of the CRISPR systems. However, most of the existing tools are black-box models that suffer from limitations, such as variable performance and unclear mechanism of decision making. Here, we introduce CRISPRedict, an interpretable gRNA efficiency prediction model for CRISPR-Cas9 gene editing. Its strength lies in the fact that it can accurately predict efficient guide RNAs—with equivalent performance to state-of-the-art tools—while being a simple linear model. Implemented as a user-friendly web server, CRISPRedict offers (i) quick and accurate predictions across various experimental conditions (e.g. U6/T7 transcription); (ii) regression and classification models for scoring gRNAs and (iii) multiple visualizations to explain the obtained results. Given its performance, interpretability, and versatility, we expect that it will assist researchers in the gRNA design process and facilitate genome editing research. CRISPRedict is available for use at http://www.crispredict.org/. Oxford University Press 2022-06-07 /pmc/articles/PMC9252759/ /pubmed/35670672 http://dx.doi.org/10.1093/nar/gkac466 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Konstantakos, Vasileios
Nentidis, Anastasios
Krithara, Anastasia
Paliouras, Georgios
CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title_full CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title_fullStr CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title_full_unstemmed CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title_short CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
title_sort crispredict: a crispr-cas9 web tool for interpretable efficiency predictions
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252759/
https://www.ncbi.nlm.nih.gov/pubmed/35670672
http://dx.doi.org/10.1093/nar/gkac466
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