KiMoPack
KiMoPack is an analysis tool designed for the kinetic modeling of transient spectroscopic data. It offers a comprehensive set of features to facilitate the analysis process, including data preprocessing, standard fitting (global analysis), and the ability to fit complex kinetic models. Users can interactively view the results of their analyses and perform multiexperiment analysis through a user-friendly graphical user interface (GUI).
Key features of KiMoPack:
1. Data Processing: KiMoPack supports data preprocessing to ensure data quality and reliability for subsequent analysis.
2. Fitting Capabilities: Users can perform standard fitting and fit complex kinetic models for a detailed analysis of transient spectroscopic data.
3. User Accessibility: The tool is designed to cater to both less experienced and experienced users, offering a user-friendly interface for beginners while providing advanced options for experts.
4. Multiexperiment Analysis: KiMoPack allows users to analyze data from multiple experiments efficiently.
5. Open Source: KiMoPack is an open-source tool, making it accessible for a wide range of researchers.
Topic
Workflows;Literature and language;Gene expression
Detail
Operation: Visualisation;Standardisation and normalisation;Read pre-processing
Software interface: Library
Language: Python
License: The GNU General Public License v3.0
Cost: Free
Version name: 7.3.5
Credit: German Research Foundation, the Crafoordska stiftelsen, Vetenskåpsrådet.
Input: -
Output: -
Contact: Jens Uhlig jens.uhlig@chemphys.lu.se, Carolin Müller carolin.mueller@uni-jena.de
Collection: -
Maturity: Stable
Publications
- KiMoPack: A python Package for Kinetic Modeling of the Chemical Mechanism.
- Müller C, et al. KiMoPack: A python Package for Kinetic Modeling of the Chemical Mechanism. KiMoPack: A python Package for Kinetic Modeling of the Chemical Mechanism. 2022; 126:4087-4099. doi: 10.1021/acs.jpca.2c00907
- https://doi.org/10.1021/ACS.JPCA.2C00907
- PMID: 35700393
- PMC: PMC9251768
Download and documentation
Documentation: https://pypi.org/help/
Home page: https://pypi.org/project/KiMoPack/
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