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SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA–encoding and target sequence pairs. Deep learning–based training on this large dataset of SpCas9-induced indel frequencies led to the development of a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834390/ https://www.ncbi.nlm.nih.gov/pubmed/31723604 http://dx.doi.org/10.1126/sciadv.aax9249 |
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author | Kim, Hui Kwon Kim, Younggwang Lee, Sungtae Min, Seonwoo Bae, Jung Yoon Choi, Jae Woo Park, Jinman Jung, Dongmin Yoon, Sungroh Kim, Hyongbum Henry |
author_facet | Kim, Hui Kwon Kim, Younggwang Lee, Sungtae Min, Seonwoo Bae, Jung Yoon Choi, Jae Woo Park, Jinman Jung, Dongmin Yoon, Sungroh Kim, Hyongbum Henry |
author_sort | Kim, Hui Kwon |
collection | PubMed |
description | We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA–encoding and target sequence pairs. Deep learning–based training on this large dataset of SpCas9-induced indel frequencies led to the development of a SpCas9 activity–predicting model named DeepSpCas9. When tested against independently generated datasets (our own and those published by other groups), DeepSpCas9 showed high generalization performance. DeepSpCas9 is available at http://deepcrispr.info/DeepSpCas9. |
format | Online Article Text |
id | pubmed-6834390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68343902019-11-13 SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance Kim, Hui Kwon Kim, Younggwang Lee, Sungtae Min, Seonwoo Bae, Jung Yoon Choi, Jae Woo Park, Jinman Jung, Dongmin Yoon, Sungroh Kim, Hyongbum Henry Sci Adv Research Articles We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA–encoding and target sequence pairs. Deep learning–based training on this large dataset of SpCas9-induced indel frequencies led to the development of a SpCas9 activity–predicting model named DeepSpCas9. When tested against independently generated datasets (our own and those published by other groups), DeepSpCas9 showed high generalization performance. DeepSpCas9 is available at http://deepcrispr.info/DeepSpCas9. American Association for the Advancement of Science 2019-11-06 /pmc/articles/PMC6834390/ /pubmed/31723604 http://dx.doi.org/10.1126/sciadv.aax9249 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Kim, Hui Kwon Kim, Younggwang Lee, Sungtae Min, Seonwoo Bae, Jung Yoon Choi, Jae Woo Park, Jinman Jung, Dongmin Yoon, Sungroh Kim, Hyongbum Henry SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title | SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title_full | SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title_fullStr | SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title_full_unstemmed | SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title_short | SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance |
title_sort | spcas9 activity prediction by deepspcas9, a deep learning–based model with high generalization performance |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834390/ https://www.ncbi.nlm.nih.gov/pubmed/31723604 http://dx.doi.org/10.1126/sciadv.aax9249 |
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