High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors

Kate D. Crawford; Asim G. Khan; Santiago C. Lopez; Hani Goodarzi; Seth L. Shipman

doi:10.1101/2024.07.08.602561

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High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors

Kate D. Crawford, Asim G. Khan, Santiago C. Lopez, View ORCID ProfileHani Goodarzi, Seth L. Shipman

doi: https://doi.org/10.1101/2024.07.08.602561

Kate D. Crawford

1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA

2Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, CA, USA

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Asim G. Khan

1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA

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Santiago C. Lopez

1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA

2Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, CA, USA

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Hani Goodarzi

3Arc Institute, Palo Alto, CA, USA

4Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA

5Department of Urology, University of California, San Francisco, CA, USA

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ORCID record for Hani Goodarzi

Seth L. Shipman

1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA

6Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA

7Chan Zuckerberg Biohub, San Francisco, CA

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For correspondence: seth.shipman@gladstone.ucsf.edu

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High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors

Kate D. Crawford, Asim G. Khan, Santiago C. Lopez, Hani Goodarzi, Seth L. Shipman

bioRxiv 2024.07.08.602561; doi: https://doi.org/10.1101/2024.07.08.602561

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High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors

Kate D. Crawford, Asim G. Khan, Santiago C. Lopez, Hani Goodarzi, Seth L. Shipman

bioRxiv 2024.07.08.602561; doi: https://doi.org/10.1101/2024.07.08.602561

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