![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
Tools
Tools
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB |
| Item Type: | Article |
|---|---|
| Title: | YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities |
| Creators Name: | Schwarz, R., Musch, P., von Kamp, A., Engels, B., Schirmer, H., Schuster, S. and Dandekar, T. |
| Abstract: | Background: A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especially useful. Despite its low user-friendliness, METATOOL as a reliable high-performance implementation of the algorithm has been the instrument of choice up to now. As reported here, the analysis of metabolic networks has been improved by an editor and analyzer of metabolic flux modes. Analysis routines for expression levels and the most central, well connected metabolites and their metabolic connections are of particular interest. Results: YANA features a platform-independent, dedicated toolbox for metabolic networks with a graphical user interface to calculate (integrating METATOOL), edit (including support for the SBML format), visualize, centralize, and compare elementary flux modes. Further, YANA calculates expected flux distributions for a given Elementary Mode (EM) activity pattern and vice versa. Moreover, a dissection algorithm, a centralization algorithm, and an average diameter routine can be used to simplify and analyze complex networks. Proteomics or gene expression data give a rough indication of some individual enzyme activities, whereas the complete flux distribution in the network is often not known. As such data are noisy, YANA features a fast evolutionary algorithm (EA) for the prediction of EM activities with minimum error, including alerts for inconsistent experimental data. We offer the possibility to include further known constraints (e.g. growth constraints) in the EA calculation process. The redox metabolism around glutathione reductase serves as an illustration example. All software and documentation are available for download at http://yana.bioapps.biozentrum.uni-wuerzburg.de. Conclusion: A graphical toolbox and an editor for METATOOL as well as a series of additional routines for metabolic network analyses constitute a new user-friendly software for such efforts. |
| Keywords: | Algorithms, Biological Models, Cell Physiological Phenomena, Computational Biology, Computer Simulation, Enzymes, Gene Expression, Gene Expression Profiling, Gene Expression Regulation, Genetic Transcription, Genomics, Glutathione Reductase, Internet, Proteomics, Software, Software Design, Statistical Data Interpretation, Statistical Models, Systems Integration, User-Computer Interface, Animals |
| Source: | BMC Bioinformatics |
| ISSN: | 1471-2105 |
| Publisher: | BioMed Central |
| Volume: | 6 |
| Page Range: | 135 |
| Date: | 1 June 2005 |
| Official Publication: | https://doi.org/10.1186/1471-2105-6-135 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
