Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2)

Yin Hoon Chew (Creator)
Daniel Seaton (Creator)
Virginie Mengin (Creator)
Anna Flis (Creator)
Sam T Mugford (Creator)
Gavin M George (Creator)
Michael Moulin (Creator)
Alastair Hume (Creator)
Samuel C Zeeman (Creator)
Teresa B. Fitzpatrick (Creator)
Alison M. Smith (Creator)
Andrew Millar (Creator)
Mark Stitt (Creator)

Dataset

2 results

2022
The Arabidopsis Framework Model version 2 predicts the organism-level effects of circadian clock gene mis-regulation
Chew, Y. H., Seaton, D. D., Mengin, V., Flis, A., Mugford, S. T., George, G. M., Moulin, M., Hume, A., Zeeman, S. C., Fitzpatrick, T. B., Smith, A. M., Stitt, M. & Millar, A. J., 30 May 2022, In: In Silico Plants. 4, 2, 15 p., diac010.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2017
Linking circadian time to growth rate quantitatively via carbon metabolism
Chew, Y. H., Seaton, D., Mengin, V., Flis, A., Mugford, S. T., Smith, A. M., Stitt, M. & Millar, A., 6 Feb 2017, bioRxiv, at Cold Spring Harbor Laboratory.
Research output: Working paper

Open Access
File