Author

Emese Hegedis

ETH ZurichORCID 0009-0008-4306-7842Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Jonas FernbachiD· 1 shared Martin J. LoessneriD· 1 shared Samuel KilcheriD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperSynthetic Biology

Jonas FernbachORCID

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1 paper

Recent·Most cited

Synthetic BiologybioRxivPreprintJun 17, 2024

Computational pipeline for targeted integration and variable payload expression for bacteriophage engineering.

Jonas Fernbach, Emese Hegedis, Martin J. Loessner, Samuel Kilcher

The paper develops a computational pipeline to integrate antimicrobial payloads into bacteriophages by identifying optimal genomic loci using machine learning, validated experimentally with bioluminescent reporter genes.

DOI 10.1101/2024.06.17.597714

bacteria (other)machine learning (classical)

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