Are the current gRNA ranking prediction algorithms useful for genome editing in plants?

Naim, Fatima; Shand, Kylie; Hayashi, Satomi; O'Brien, Martin; McGree, James; Johnson, Alexander AT; Dugdale, Benjamin; Waterhouse, Peter M

doi:10.26181/6195971a5f30f

1186131_O'Brien_2020.pdf (1.79 MB)

Are the current gRNA ranking prediction algorithms useful for genome editing in plants?

journal contribution

posted on 2021-11-17, 23:58 authored by Fatima Naim, Kylie Shand, Satomi Hayashi, Martin O'BrienMartin O'Brien, James McGree, Alexander AT Johnson, Benjamin Dugdale, Peter M Waterhouse

Introducing a new trait into a crop through conventional breeding commonly takes decades, but recently developed genome sequence modification technology has the potential to accelerate this process.

Funding

FL160100155 awarded to PMW funded by Australian Research Council, The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

History

Publication Date

2020-01-24

Journal

PLOS ONE

Volume

15

Issue

1

Article Number

e0227994

Pagination

(p.1-12)

Publisher

Public Library of Science (PLoS)

ISSN

1932-6203

Rights Statement

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