Improved prediction of bacterial CRISPRi guide efficiency through data integration and automated machine learning

Yanying Yu; Sandra Gawlitt; Lisa Barros de Andrade e Sousa; Erinc Merdivan; Marie Piraud; Chase Beisel; Lars Barquist

doi:10.1101/2022.05.27.493707

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Improved prediction of bacterial CRISPRi guide efficiency through data integration and automated machine learning

Yanying Yu, Sandra Gawlitt, Lisa Barros de Andrade e Sousa, Erinc Merdivan, Marie Piraud, Chase Beisel, View ORCID ProfileLars Barquist

doi: https://doi.org/10.1101/2022.05.27.493707

Yanying Yu

1Helmholtz Institute for RNA-based Infection Research (HIRI) / Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany

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Sandra Gawlitt

1Helmholtz Institute for RNA-based Infection Research (HIRI) / Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany

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Lisa Barros de Andrade e Sousa

2Helmholtz AI, Helmholtz Zentrum München, 85764 Neuherberg, Germany

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Erinc Merdivan

2Helmholtz AI, Helmholtz Zentrum München, 85764 Neuherberg, Germany

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Marie Piraud

2Helmholtz AI, Helmholtz Zentrum München, 85764 Neuherberg, Germany

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Chase Beisel

1Helmholtz Institute for RNA-based Infection Research (HIRI) / Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany

3Medical Faculty, University of Würzburg, 97080 Würzburg, Germany

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Lars Barquist

1Helmholtz Institute for RNA-based Infection Research (HIRI) / Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany

3Medical Faculty, University of Würzburg, 97080 Würzburg, Germany

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ORCID record for Lars Barquist
For correspondence: lars.barquist@helmholtz-hiri.de

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Posted May 28, 2022.

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Improved prediction of bacterial CRISPRi guide efficiency through data integration and automated machine learning

Yanying Yu, Sandra Gawlitt, Lisa Barros de Andrade e Sousa, Erinc Merdivan, Marie Piraud, Chase Beisel, Lars Barquist

bioRxiv 2022.05.27.493707; doi: https://doi.org/10.1101/2022.05.27.493707

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Improved prediction of bacterial CRISPRi guide efficiency through data integration and automated machine learning

Yanying Yu, Sandra Gawlitt, Lisa Barros de Andrade e Sousa, Erinc Merdivan, Marie Piraud, Chase Beisel, Lars Barquist

bioRxiv 2022.05.27.493707; doi: https://doi.org/10.1101/2022.05.27.493707

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