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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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