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Generating minimum set of gRNA to cover multiple targets in multiple genomes with MINORg

View ORCID ProfileRachelle R.Q. Lee, View ORCID ProfileWei Yuan Cher, View ORCID ProfileEunyoung Chae
doi: https://doi.org/10.1101/2022.03.10.481891
Rachelle R.Q. Lee
1Department of Biological Sciences, National University of Singapore, Singapore 117558
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Wei Yuan Cher
1Department of Biological Sciences, National University of Singapore, Singapore 117558
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Eunyoung Chae
1Department of Biological Sciences, National University of Singapore, Singapore 117558
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  • For correspondence: dbsce@nus.edu.sg
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Abstract

MINORg is an offline gRNA design tool that generates the smallest possible combination of gRNA capable of covering all desired targets in multiple non-reference genomes. As interest in pangenomic research grows, so does the workload required for large screens in multiple individuals. MINORg aims to lessen this workload by capitalising on sequence homology to favour multi-target gRNA while simultaneously screening multiple genetic backgrounds in order to generate reusable gRNA panels. We demonstrated the practical application of MINORg by knocking out a 11 homologous genes tandemly arrayed in a multigene cluster in two Arabidopsis thaliana lineages using three gRNA output by MINORg. Source code is freely available at https://github.com/rlrq/MINORg.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Supplemental files updated with supplementary methods

  • https://github.com/rlrq/MINORg

  • https://rlrq.github.io/MINORg

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted March 15, 2022.
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Generating minimum set of gRNA to cover multiple targets in multiple genomes with MINORg
Rachelle R.Q. Lee, Wei Yuan Cher, Eunyoung Chae
bioRxiv 2022.03.10.481891; doi: https://doi.org/10.1101/2022.03.10.481891
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Generating minimum set of gRNA to cover multiple targets in multiple genomes with MINORg
Rachelle R.Q. Lee, Wei Yuan Cher, Eunyoung Chae
bioRxiv 2022.03.10.481891; doi: https://doi.org/10.1101/2022.03.10.481891

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