Predicting CRISPR-Cas12a guide efficiency for targeting using machine learning

• Aidan O’Brien,

  Roles Conceptualization, Formal analysis, Investigation, Software, Writing – original draft, Writing – review & editing

  Affiliations Division of Genome Science and Cancer and The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia, Commonwealth Scientific and Industrial Research (CSIRO) Health and Biosecurity, Adelaide, SA, Australia

  https://orcid.org/0000-0003-3525-8469

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• Denis C. Bauer ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: denis.bauer@csiro.au (DCB); Gaetan.burgio@anu.edu.au (GB)

  Affiliations Commonwealth Scientific and Industrial Research (CSIRO) Health and Biosecurity, Adelaide, SA, Australia, Faculty of Medicine and Health Science, Department of Biomedical Sciences, Macquarie University, Macquarie Park, Australia, Faculty of Science and Engineering, Applied BioSciences, Macquarie University, Macquarie Park, Australia

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• Gaetan Burgio

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: denis.bauer@csiro.au (DCB); Gaetan.burgio@anu.edu.au (GB)

  Affiliation Division of Genome Science and Cancer and The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia

  https://orcid.org/0000-0002-7434-926X

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