GSA data from the paper: Harnessing small RNAs as synthetic post-transcriptional regulators in prokaryotes
Creators
Description
Dataset from a Global Sensitivity Analysis (GSA) of an Ordinary Differential Equation (ODE) model simulating sRNA-mediated regulation of protein expression. It includes 1.5000.000 input parameter sets (kinetic rates for processes like transcription, translation, degradation, and sRNA-target interaction) generated via Sobol' sampling from defined ranges using uniform and log-uniform distributions. The corresponding model output for each set is the 'Protein Regulation Strength,' calculated as a log2 fold change. This dataset is provided for re-analysis of parameter sensitivities, interactions, and further model exploration. The R scripts for the GSA and model are available in the associated GitHub repository: https://github.com/JensGeorg/GSA-sRNA-RNA-interaction-.git
Files
Files
(275.2 MB)
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md5:dc9a6222028dc6fe069eda3f24360ebd
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275.2 MB | Download |
Additional details
Software
- Repository URL
- https://github.com/JensGeorg/GSA-sRNA-RNA-interaction-.git
- Programming language
- R