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Instructions and details on the data analysis workflow.
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Created: 24th Jul 2020 at 15:52
Last updated: 24th Jul 2020 at 15:53
Last used: 25th Jan 2021 at 14:27

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Well rounded biologist/biotechnologist/biochemist/enzymologist/bioinformatician/computational biologist.
This is a collection of deep eutectic solvent (DES) experimental and simulation data that is stored in CML format and analysed using gradient boosting decision trees.
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A meta-analysis of the impact of water content and temperature on the viscosities of four deep eutectic solvents (glyceline, reline, DEAG, DEACG), their components (choline chloride, urea, glycerol, ethylene glycol), methanol, and pure water was performed. We analyzed the viscosity data by an automated workflow, using Arrhenius and Vogel–Fulcher–Tammann-Hesse models.
Investigation: Deep Eutectic Solvents
Assays: VFT and Arrhenius Modelling
Investigation: Deep Eutectic Solvents
Study: Meta-analysis of viscosity of aqueous deep eute...
Organisms: No organisms
Models: No Models
SOPs: Instructions for using the workflow
Data files: Defining names, Modelling Workflow, Results of modelling analysis, Viscosity data input, Wrapper script