Tools for time-course simulation in systems biology: a brief overview
Language English Country England, Great Britain Media print
Document type Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
33423059
DOI
10.1093/bib/bbaa392
PII: 6076933
Knihovny.cz E-resources
- Keywords
- biological networks, dynamic model, hybrid, qualitative, quantitative,
- MeSH
- Models, Biological * MeSH
- Datasets as Topic MeSH
- Gene Regulatory Networks MeSH
- Humans MeSH
- Computer Simulation MeSH
- Software * MeSH
- Stochastic Processes MeSH
- Systems Biology methods MeSH
- Information Storage and Retrieval MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Dynamic modeling of biological systems is essential for understanding all properties of a given organism as it allows us to look not only at the static picture of an organism but also at its behavior under various conditions. With the increasing amount of experimental data, the number of tools that enable dynamic analysis also grows. However, various tools are based on different approaches, use different types of data and offer different functions for analyses; so it can be difficult to choose the most suitable tool for a selected type of model. Here, we bring a brief overview containing descriptions of 50 tools for the reconstruction of biological models, their time-course simulation and dynamic analysis. We examined each tool using test data and divided them based on the qualitative and quantitative nature of the mathematical apparatus they use.
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