Cargando…

Computational Tools and Resources Supporting CRISPR-Cas Experiments

The CRISPR-Cas system has become a cutting-edge technology that revolutionized genome engineering. The use of Cas9 nuclease is currently the method of choice in most tasks requiring a specific DNA modification. The rapid development in the field of CRISPR-Cas is reflected by the constantly expanding...

Descripción completa

Detalles Bibliográficos
Autores principales: Sledzinski, Pawel, Nowaczyk, Mateusz, Olejniczak, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290941/
https://www.ncbi.nlm.nih.gov/pubmed/32455882
http://dx.doi.org/10.3390/cells9051288
_version_ 1783545793734508544
author Sledzinski, Pawel
Nowaczyk, Mateusz
Olejniczak, Marta
author_facet Sledzinski, Pawel
Nowaczyk, Mateusz
Olejniczak, Marta
author_sort Sledzinski, Pawel
collection PubMed
description The CRISPR-Cas system has become a cutting-edge technology that revolutionized genome engineering. The use of Cas9 nuclease is currently the method of choice in most tasks requiring a specific DNA modification. The rapid development in the field of CRISPR-Cas is reflected by the constantly expanding ecosystem of computational tools aimed at facilitating experimental design and result analysis. The first group of CRISPR-Cas-related tools that we review is dedicated to aid in guide RNA design by prediction of their efficiency and specificity. The second, relatively new group of tools exploits the observed biases in repair outcomes to predict the results of CRISPR-Cas edits. The third class of tools is developed to assist in the evaluation of the editing outcomes by analysis of the sequencing data. These utilities are accompanied by relevant repositories and databases. Here we present a comprehensive and updated overview of the currently available CRISPR-Cas-related tools, from the perspective of a user who needs a convenient and reliable means to facilitate genome editing experiments at every step, from the guide RNA design to analysis of editing outcomes. Moreover, we discuss the current limitations and challenges that the field must overcome for further improvement in the CRISPR-Cas endeavor.
format Online
Article
Text
id pubmed-7290941
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72909412020-06-17 Computational Tools and Resources Supporting CRISPR-Cas Experiments Sledzinski, Pawel Nowaczyk, Mateusz Olejniczak, Marta Cells Review The CRISPR-Cas system has become a cutting-edge technology that revolutionized genome engineering. The use of Cas9 nuclease is currently the method of choice in most tasks requiring a specific DNA modification. The rapid development in the field of CRISPR-Cas is reflected by the constantly expanding ecosystem of computational tools aimed at facilitating experimental design and result analysis. The first group of CRISPR-Cas-related tools that we review is dedicated to aid in guide RNA design by prediction of their efficiency and specificity. The second, relatively new group of tools exploits the observed biases in repair outcomes to predict the results of CRISPR-Cas edits. The third class of tools is developed to assist in the evaluation of the editing outcomes by analysis of the sequencing data. These utilities are accompanied by relevant repositories and databases. Here we present a comprehensive and updated overview of the currently available CRISPR-Cas-related tools, from the perspective of a user who needs a convenient and reliable means to facilitate genome editing experiments at every step, from the guide RNA design to analysis of editing outcomes. Moreover, we discuss the current limitations and challenges that the field must overcome for further improvement in the CRISPR-Cas endeavor. MDPI 2020-05-22 /pmc/articles/PMC7290941/ /pubmed/32455882 http://dx.doi.org/10.3390/cells9051288 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sledzinski, Pawel
Nowaczyk, Mateusz
Olejniczak, Marta
Computational Tools and Resources Supporting CRISPR-Cas Experiments
title Computational Tools and Resources Supporting CRISPR-Cas Experiments
title_full Computational Tools and Resources Supporting CRISPR-Cas Experiments
title_fullStr Computational Tools and Resources Supporting CRISPR-Cas Experiments
title_full_unstemmed Computational Tools and Resources Supporting CRISPR-Cas Experiments
title_short Computational Tools and Resources Supporting CRISPR-Cas Experiments
title_sort computational tools and resources supporting crispr-cas experiments
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290941/
https://www.ncbi.nlm.nih.gov/pubmed/32455882
http://dx.doi.org/10.3390/cells9051288
work_keys_str_mv AT sledzinskipawel computationaltoolsandresourcessupportingcrisprcasexperiments
AT nowaczykmateusz computationaltoolsandresourcessupportingcrisprcasexperiments
AT olejniczakmarta computationaltoolsandresourcessupportingcrisprcasexperiments