IOCBIO Kinetics is a cross-platform application for analyzing different traces, as described by its plugins. While originally developed for analyzing enzyme kinetics, other types of traces can also be analyzed. It is designed to analyze traces in which one measured parameter depends on another parameter, such as time or space. For example, it can analyze respiration-rate measurements by following oxygen concentration over time and changes induced by the addition of metabolites.
The analysis of experimental traces is built as a pipeline, with data imported from the experiment file, regions of interest automatically generated or set by the user, and data fitted and analyzed. Communication between different plugins occurs through the database backend, with the analysis results stored in the database. The software is modular, with new modules easily added to support new types of experiments.
Links
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Homepage: https://iocbio.gitlab.io/kinetics
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Project page: https://gitlab.com/iocbio/kinetics
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Demos: https://www.youtube.com/channel/UCAyvqIEqVARCmtQ_5XQYJaQ
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Issues with the software and requests for help: https://gitlab.com/iocbio/kinetics/-/work_items. Please use the public issues when you want to get assistance with installation, reading your data, suggest extension or improvement of the software. By doing it openly, you can help others with the same problems or suggestions.
Citation
Please cite the paper describing the software if you use it:
Vendelin, M., Laasmaa, M., Kalda, M., Branovets, J., Karro, N., Barsunova, K., & Birkedal, R. (2020). IOCBIO Kinetics: An open-source software solution for analysis of data traces. PLOS Computational Biology, 16(12), e1008475. https://doi.org/10.1371/journal.pcbi.1008475