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Patterns of interdivision time correlations reveal hidden cell cycle factors

View ORCID ProfileFern A. Hughes, View ORCID ProfileAlexis R. Barr, View ORCID ProfilePhilipp Thomas
doi: https://doi.org/10.1101/2022.06.27.497837
Fern A. Hughes
1Department of Mathematics, Imperial College London and MRC London Institute of Medical Sciences
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Alexis R. Barr
2MRC London Institute of Medical Sciences and Institute of Clinical Sciences, Imperial College London
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  • For correspondence: a.barr@lms.mrc.ac.uk p.thomas@imperial.ac.uk
Philipp Thomas
3Department of Mathematics, Imperial College London
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  • For correspondence: a.barr@lms.mrc.ac.uk p.thomas@imperial.ac.uk
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Article Information

doi 
https://doi.org/10.1101/2022.06.27.497837
History 
  • November 14, 2022.

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  • Version 1 (June 28, 2022 - 14:55).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Fern A. Hughes1,
  2. Alexis R. Barr2,* and
  3. Philipp Thomas3,*
  1. 1Department of Mathematics, Imperial College London and MRC London Institute of Medical Sciences
  2. 2MRC London Institute of Medical Sciences and Institute of Clinical Sciences, Imperial College London
  3. 3Department of Mathematics, Imperial College London
  1. ↵*Correspondence to a.barr{at}lms.mrc.ac.uk, p.thomas{at}imperial.ac.uk
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Posted November 14, 2022.
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Patterns of interdivision time correlations reveal hidden cell cycle factors
Fern A. Hughes, Alexis R. Barr, Philipp Thomas
bioRxiv 2022.06.27.497837; doi: https://doi.org/10.1101/2022.06.27.497837
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Patterns of interdivision time correlations reveal hidden cell cycle factors
Fern A. Hughes, Alexis R. Barr, Philipp Thomas
bioRxiv 2022.06.27.497837; doi: https://doi.org/10.1101/2022.06.27.497837

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