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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...

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Autores principales: Zhang, Yuwei, Zhao, Guofang, Ahmed, Fatma Yislam Hadi, Yi, Tianfei, Hu, Shiyun, Cai, Ting, Liao, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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