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Data-driven modelling captures dynamics of the circadian clock of Neurospora crassa

Amit Singh, Congxin Li, Axel C. R. Diernfellner, Thomas Höfer, Michael Brunner
doi: https://doi.org/10.1101/2022.01.24.477555
Amit Singh
1Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
3Institute for Biomechanics, ETH Zurich, Leopold-Ruzicka-Weg 4, 8093 Zurich, Switzerland
4Tissue and Tumor Microenvironments Group, Kennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK
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Congxin Li
2Theoretical Systems Biology (B086) Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
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Axel C. R. Diernfellner
1Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
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Thomas Höfer
2Theoretical Systems Biology (B086) Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
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  • For correspondence: michael.brunner@bzh.uni-heidelberg.de t.hoefer@dkfz-heidelberg.de
Michael Brunner
1Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
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  • For correspondence: michael.brunner@bzh.uni-heidelberg.de t.hoefer@dkfz-heidelberg.de
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Posted February 19, 2022.
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Data-driven modelling captures dynamics of the circadian clock of Neurospora crassa
Amit Singh, Congxin Li, Axel C. R. Diernfellner, Thomas Höfer, Michael Brunner
bioRxiv 2022.01.24.477555; doi: https://doi.org/10.1101/2022.01.24.477555
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Data-driven modelling captures dynamics of the circadian clock of Neurospora crassa
Amit Singh, Congxin Li, Axel C. R. Diernfellner, Thomas Höfer, Michael Brunner
bioRxiv 2022.01.24.477555; doi: https://doi.org/10.1101/2022.01.24.477555

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