Documents

This describes how models were linked to in vitro data and then from there also linked to in-vivo data by detrending and rescaling in vivo data to match in vitro data for CCA1 and TOC1. The detrending was also derived by performing a long LD experiemnt fro servarl days and using the expression peaks of TOC1 to extract the trend in NLUC decay and plant growth.

equations in PDF

U2020.5 equations in PDF

The jupyter notebook contains the code that predicts the number of monomers of several clock proteins and rescales the U2019.4 model which was published https://doi.org/10.1093/insilicoplants/diab022

This file contains the scaling factors that can be used with U2019.4 that will match synthetic protein data generated with the simple translation model.

The jupyter notebook contains the code that predicts the number of monomers of several clock proteins and rescales the U2019.4 model which was published https://doi.org/10.1093/insilicoplants/diab022

PDF of U2019.4 equations

PDF of U2020.4 equations

Jupyter notebook file that describes how the models were finally linked to produce several plots were model predictions and data are compared

This scaling factors can be pluged into U2020.4. They were derived by numerically matching the synthetic protein data