Author

Daniel Gerngross

ETH ZurichORCID 0000-0002-9188-2277Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

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Niko BeerenwinkeliD· 1 shared Sven PankeiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperSynthetic Biology

Niko BeerenwinkelORCID

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1 paper

Recent·Most cited

Systematic investigation of synthetic operon designs enables prediction and control of expression levels of multiple proteins

Daniel Gerngross, Niko Beerenwinkel, Sven Panke

The paper systematically investigates synthetic operon designs to predict and control protein expression levels in bacterial hosts using machine learning.

bioRxiv · Jun 10, 2022 · PreprintSynthetic Biology