Author

Chetan Aditya

Institut national de recherche en sciences et technologies du numériqueORCID 0000-0002-2872-580XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 2 Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:yeast· 3 Approach:experimental assay· 2 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

François BertauxiD· 4 shared Grégory BattiD· 4 shared Jakob RuessiD· 3 shared Achille FraisseiD· 2 shared Sebastián Sosa-CarrilloiD· 2 shared Mariela FürstenheimiD· 1 shared Sébastien Gilles· 1 shared Steven Fletcher· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersSynthetic Biology

François BertauxORCID

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4 papers

Recent·Most cited

Enhancing bioreactor arrays for automated measurements and reactive control with ReacSight

François Bertaux, Sebastián Sosa-Carrillo, Viktoriia Gross, Achille Fraisse, Chetan Aditya, Mariela Fürstenheim, Grégory Batt

The paper introduces ReacSight, a system for enhancing bioreactor arrays with automated measurements and reactive control, demonstrating its use in yeast cultures for gene expression control and competition assays.

Nature Communications · Jun 11, 2022Peer-reviewedSynthetic Biology

Using single-cell models to predict the functionality of synthetic circuits at the population scale

Chetan Aditya, François Bertaux, Grégory Batt, Jakob Ruess

The paper demonstrates that stochastic modeling of single-cell processes can predict population-level behavior of synthetic circuits without parameter adjustment.

Proceedings of the National Academy of Sciences · Mar 10, 2022Peer-reviewedSystems Biology

A light tunable differentiation system for the creation and control of consortia in yeast

Chetan Aditya, François Bertaux, Grégory Batt, Jakob Ruess

This paper introduces a light-tunable differentiation system in yeast to create and control stable microbial consortia with custom functionalities.

Nature Communications · Oct 5, 2021Peer-reviewedSynthetic Biology

MicroMator: Open and Flexible Software for Reactive Microscopy

Zachary Fox, Steven Fletcher, Achille Fraisse, Chetan Aditya, Sebastián Sosa-Carrillo, Sébastien Gilles, François Bertaux, Jakob Ruess, Grégory Batt

MicroMator enables reactive microscopy experiments by integrating real-time data with machine learning for single-cell control and recombination.

bioRxiv · Mar 12, 2021 · PreprintSystems Biology