Effects of model complexity on Pseudomonas aeruginosa biofilm physiology and response to antimicrobial agents
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 mennig@stud.uni-frankfurt.de or pmu@mail.de. All Python code in this repository was reformatted using Black (https://github.com/psf/black).
Fields of Study & Subjects
Bacterial biofilms and quorum sensing
Bacterial Genetics and Biotechnology
Antifungal resistance and susceptibility
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 March 2026
- Language
- EN