Python Workflow for Analysis of Specific Activities and DLS data

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Gre2p activity monitored by NADPH absorbance using different enzyme concentrations. Activity is measured after different storage conditions (treatments) and in presence of different amounts of tween. Also analysis of DLS data of homogeneity of Gre2p samples measured before and after these treatments.

A python workflow is used to analyse the data and create a plot of the data. It requires the following directory structure:

./ ./ ./

and as input:

./SpAc_diff_conditions.CSV ./SpAc_diff_Tween.CSV ./DLS_Z-average_Tween.CSV ./DLS_Z-average_PBSandHEPES.CSV ./DLS_PDI.CSV ./DLS_PDI_BSA_stirr.CSV ./DLS_PDI_BSA_shake.CSV ./DLS_Z-average_BSA_stirr.CSV ./DLS_Z-average_BSA_shake.CSV


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Created: 27th Apr 2021 at 14:06

Last updated: 6th Jul 2021 at 11:01

Last used: 30th Nov 2022 at 10:17

Version History

Version 2 (latest) Created 6th Jul 2021 at 09:50 by Gudrun Gygli

Added the csv-files and the scripts for figure S15 and changed the figure names in the existing scripts (Script_forS13andS16, Script_for_S20) to match the numbering of the revised document (Script_forS13andS18, Script_for_S22).

Version 1 (earliest) Created 27th Apr 2021 at 14:06 by Gudrun Gygli

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