Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents

Supplementary Information for "Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents" Author: Paul MennigDegree: Master of Science, Molecular MedicineInstitution: Johann Wolfgang Goethe University FrankfurtYear: 2026 This repository contains supplementary materials supporting the analyses presented in the master's thesis. The respective archives are named after the experiments, and the corresponding sections in the thesis are indicated in parentheses. This archive includes: Data: Raw and processed experimental datasets, as well as results of simulations and predictions Scripts: Python, Bash, and ImageJ scripts for analysis, simulation, and prediction. Manuscript source code: The complete LaTeX source files used to compile the thesis manuscript, including figures and bibliography. For any questions regarding this archive and its contents, please do not hesitate to contact me at [email protected] or [email protected]. All Python code in this repository was reformatted using Black (https://github.com/psf/black).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-16
DOI
https://doi.org/10.5281/zenodo.18713341
Primary Topic
Bacterial biofilms and quorum sensing
Type
article
Field-Weighted Citation Impact
0.00
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article

Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents

Paul Mennig
Zenodo (CERN European Organization for Nuclear Research)
Bacterial biofilms and quorum sensing
article

Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents

Paul Mennig
article en

Abstract

Supplementary Information for "Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents" Author: Paul MennigDegree: Master of Science, Molecular MedicineInstitution: Johann Wolfgang Goethe University FrankfurtYear: 2026 This repository contains supplementary materials supporting the analyses presented in the master's thesis. The respective archives are named after the experiments, and the corresponding sections in the thesis are indicated in parentheses. This archive includes: Data: Raw and processed experimental datasets, as well as results of simulations and predictions Scripts: Python, Bash, and ImageJ scripts for analysis, simulation, and prediction. Manuscript source code: The complete LaTeX source files used to compile the thesis manuscript, including figures and bibliography. For any questions regarding this archive and its contents, please do not hesitate to contact me at [email protected] or [email protected]. All Python code in this repository was reformatted using Black (https://github.com/psf/black).

Zenodo (CERN European Organization for Nuclear Research)
Goethe University Frankfurt (DE)
Openalex Percentile: Top 21%
Bacterial biofilms and quorum sensing
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