Data used for training or testing of the model
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Created: 25th Feb 2021 at 16:25
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Version 1 (earliest) Created 25th Feb 2021 at 16:25 by Hannah Kinmonth-Schultz
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SynthSys is the University of Edinburgh's research organisation in interdisciplinary, Synthetic and Systems Biology, founded in 2012 as the successor to the Centre for Systems Biology at Edinburgh (CSBE).
Projects: Millar group, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, TiMet, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Web page: http://www.synthsys.ed.ac.uk
Research programme in the Takato Imaizumi lab, with multiple collaborators. Published in Song et al. Nature Plants 2018; Kinmonth-Schultz et al., in silico Plant 2019.
Programme: SynthSys
Public web page: https://faculty.washington.edu/takato/
Organisms: Arabidopsis thaliana
Project to test effects of temperature cycles on expression of Arabidopsis florigen gene FT, and whether these are mediated by temperature-dependent leaf development or temperature-specific FT expression, or both. Re-used and extended Arabidopsis Framework Model v1 to address this question. Led by Hannah Kinmonth-Schultz in Kim and Imaizumi labs, collaborating with Millar lab.
Submitter: Andrew Millar
Snapshots: No snapshots
Assays for model composition here, in order to share model files; potentially training and validation data in other Studies.
Submitter: Andrew Millar
Investigation: Temperature effects on Arabidopsis floral induc...
Snapshots: No snapshots
Model files for FMv1.5. The model is based on FMv1 of Chew et al. PNAS 2014, which is also in FAIRDOMHub and linked to the Model record as an 'Attribution'. FMv1 was extended in this work by Hannah Kinmonth-Schultz and Daniel Seaton, in Matlab.
Submitter: Andrew Millar
Biological problem addressed: Model Analysis Type
Investigation: Temperature effects on Arabidopsis floral induc...
Organisms: Arabidopsis thaliana : Col-0 wild type (wild-type / wild-type)
Models: framework model v1_5
SOPs: No SOPs
Data files: Data_training & testing
Snapshots: No snapshots
Abstract (Expand)
Authors: Hannah A Kinmonth-Schultz, Melissa J S MacEwen, Daniel D Seaton, Andrew J Millar, Takato Imaizumi, Soo-Hyung Kim
Date Published: 2019
Publication Type: Journal
DOI: 10.1093/insilicoplants/diz006
Citation: in silico Plants 1(1),diz006