Improving CRISPR guide design with consensus approaches

Abstract Background CRISPR-based systems are playing an important role in modern genome engineering. A large number of computational methods have been developed to assist in the identification of suitable guides. However, there is only limited overlap between the guides that each tool identifies. Th...

Full description

Bibliographic Details
Main Authors: Jacob Bradford, Dimitri Perrin
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12864-019-6291-z
id doaj-99e7e74ee0a04f269c47f35177d3ff5e
record_format Article
spelling doaj-99e7e74ee0a04f269c47f35177d3ff5e2020-12-27T12:08:28ZengBMCBMC Genomics1471-21642019-12-0120S911110.1186/s12864-019-6291-zImproving CRISPR guide design with consensus approachesJacob Bradford0Dimitri Perrin1School of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology (QUT)School of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology (QUT)Abstract Background CRISPR-based systems are playing an important role in modern genome engineering. A large number of computational methods have been developed to assist in the identification of suitable guides. However, there is only limited overlap between the guides that each tool identifies. This can motivate further development, but also raises the question of whether it is possible to combine existing tools to improve guide design. Results We considered nine leading guide design tools, and their output when tested using two sets of guides for which experimental validation data is available. We found that consensus approaches were able to outperform individual tools. The best performance (with a precision of up to 0.912) was obtained when combining four of the tools and accepting all guides selected by at least three of them. Conclusions These results can be used to improve CRISPR-based studies, but also to guide further tool development. However, they only provide a short-term solution as the time and computational resources required to run four tools may be impractical in certain applications.https://doi.org/10.1186/s12864-019-6291-zCRISPRGuide designConsensus
collection DOAJ
language English
format Article
sources DOAJ
author Jacob Bradford
Dimitri Perrin
spellingShingle Jacob Bradford
Dimitri Perrin
Improving CRISPR guide design with consensus approaches
BMC Genomics
CRISPR
Guide design
Consensus
author_facet Jacob Bradford
Dimitri Perrin
author_sort Jacob Bradford
title Improving CRISPR guide design with consensus approaches
title_short Improving CRISPR guide design with consensus approaches
title_full Improving CRISPR guide design with consensus approaches
title_fullStr Improving CRISPR guide design with consensus approaches
title_full_unstemmed Improving CRISPR guide design with consensus approaches
title_sort improving crispr guide design with consensus approaches
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2019-12-01
description Abstract Background CRISPR-based systems are playing an important role in modern genome engineering. A large number of computational methods have been developed to assist in the identification of suitable guides. However, there is only limited overlap between the guides that each tool identifies. This can motivate further development, but also raises the question of whether it is possible to combine existing tools to improve guide design. Results We considered nine leading guide design tools, and their output when tested using two sets of guides for which experimental validation data is available. We found that consensus approaches were able to outperform individual tools. The best performance (with a precision of up to 0.912) was obtained when combining four of the tools and accepting all guides selected by at least three of them. Conclusions These results can be used to improve CRISPR-based studies, but also to guide further tool development. However, they only provide a short-term solution as the time and computational resources required to run four tools may be impractical in certain applications.
topic CRISPR
Guide design
Consensus
url https://doi.org/10.1186/s12864-019-6291-z
work_keys_str_mv AT jacobbradford improvingcrisprguidedesignwithconsensusapproaches
AT dimitriperrin improvingcrisprguidedesignwithconsensusapproaches
_version_ 1724369312702005248