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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
Congxin Li
2Theoretical Systems Biology (B086) Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Axel C. R. Diernfellner
1Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany
Thomas Höfer
2Theoretical Systems Biology (B086) Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Michael Brunner
1Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany

- Supplementary file[supplements/477555_file02.pdf]
Posted February 19, 2022.
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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