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In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster
The CRISPR/Cas system has stood in the center of attention in the last few years as a revolutionary gene editing tool with a wide application to investigate gene functions. However, the labor-intensive workflow requires a sophisticated pre-experimental and post-experimental analysis, thus becoming o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567020/ https://www.ncbi.nlm.nih.gov/pubmed/33123486 http://dx.doi.org/10.3389/fonc.2020.584404 |
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author | Zhang, Yuwei Zhao, Guofang Ahmed, Fatma Yislam Hadi Yi, Tianfei Hu, Shiyun Cai, Ting Liao, Qi |
author_facet | Zhang, Yuwei Zhao, Guofang Ahmed, Fatma Yislam Hadi Yi, Tianfei Hu, Shiyun Cai, Ting Liao, Qi |
author_sort | Zhang, Yuwei |
collection | PubMed |
description | The CRISPR/Cas system has stood in the center of attention in the last few years as a revolutionary gene editing tool with a wide application to investigate gene functions. However, the labor-intensive workflow requires a sophisticated pre-experimental and post-experimental analysis, thus becoming one of the hindrances for the further popularization of practical applications. Recently, the increasing emergence and advancement of the in silico methods play a formidable role to support and boost experimental work. However, various tools based on distinctive design principles and frameworks harbor unique characteristics that are likely to confuse users about how to choose the most appropriate one for their purpose. In this review, we will present a comprehensive overview and comparisons on the in silico methods from the aspects of CRISPR/Cas system identification, guide RNA design, and post-experimental assistance. Furthermore, we establish the hypotheses in light of the new trends around the technical optimization and hope to provide significant clues for future tools development. |
format | Online Article Text |
id | pubmed-7567020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75670202020-10-28 In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster Zhang, Yuwei Zhao, Guofang Ahmed, Fatma Yislam Hadi Yi, Tianfei Hu, Shiyun Cai, Ting Liao, Qi Front Oncol Oncology The CRISPR/Cas system has stood in the center of attention in the last few years as a revolutionary gene editing tool with a wide application to investigate gene functions. However, the labor-intensive workflow requires a sophisticated pre-experimental and post-experimental analysis, thus becoming one of the hindrances for the further popularization of practical applications. Recently, the increasing emergence and advancement of the in silico methods play a formidable role to support and boost experimental work. However, various tools based on distinctive design principles and frameworks harbor unique characteristics that are likely to confuse users about how to choose the most appropriate one for their purpose. In this review, we will present a comprehensive overview and comparisons on the in silico methods from the aspects of CRISPR/Cas system identification, guide RNA design, and post-experimental assistance. Furthermore, we establish the hypotheses in light of the new trends around the technical optimization and hope to provide significant clues for future tools development. Frontiers Media S.A. 2020-10-02 /pmc/articles/PMC7567020/ /pubmed/33123486 http://dx.doi.org/10.3389/fonc.2020.584404 Text en Copyright © 2020 Zhang, Zhao, Ahmed, Yi, Hu, Cai and Liao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhang, Yuwei Zhao, Guofang Ahmed, Fatma Yislam Hadi Yi, Tianfei Hu, Shiyun Cai, Ting Liao, Qi In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title | In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title_full | In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title_fullStr | In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title_full_unstemmed | In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title_short | In silico Method in CRISPR/Cas System: An Expedite and Powerful Booster |
title_sort | in silico method in crispr/cas system: an expedite and powerful booster |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567020/ https://www.ncbi.nlm.nih.gov/pubmed/33123486 http://dx.doi.org/10.3389/fonc.2020.584404 |
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