These Python scripts define and simulate the translational coincidence model. This model takes measured transcript dynamics (Blasing et al, 2005) in 12L:12D, measured synthesis rates of protein in light compared to dark (Pal et al, 2013), and outputs predicted changes in protein abundance between short (6h) and long (18h) photoperiods. These are compared to the photoperiod proteomics dataset we generated.
SEEK ID: https://fairdomhub.org/assays/593
Modelling analysis
Projects: Millar group, TiMet
Investigation: Photoperiodic control of the Arabidopsis proteome reveals a translational coincidence mechanism
Study: Modelling and analysis of translational coincidence
Assay position:
Biological problem addressed: Model Analysis Type
Organisms: Arabidopsis thaliana : Col-0 wild type (wild-type / wild-type)
Data:
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Views: 2386
Created: 4th Dec 2017 at 21:41
Last updated: 20th Feb 2018 at 22:03
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