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iMAT: an integrative metabolic analysis tool
Open accessAbstract
Summary: iMAT is an Integrative Metabolic Analysis Tool, enabling the integration of transcriptomic and proteomic data with genome-scale metabolic network models to predict enzymes' metabolic flux, based on the method previously described by Shlomi et al. The prediction of metabolic fluxes based on high-throughput molecular data sources could help to advance our understanding of cellular metabolism, since current experimental approaches are limited to measuring fluxes through merely a few dozen enzymes. Availability and Implementation: http://imat.cs.tau.ac.il/ Contact: zurhadas@post.tau.ac.il; ruppin@post.tau.ac.il; tomersh@cs.technion.ac.il Supplementary information: Supplementary data are available at Bioinformatics online.
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High-throughput generation, optimization and analysis of genome-scale metabolic models
Henry, C. S., DeJongh, M., Best, A. A., Frybarger, P. M., Linsay, B., & Stevens, R. L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1672 · Cited by 1,090
Famili, I., Förster, J., Nielsen, J., & Palsson, B. O. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2235812100 · Cited by 353
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Metadata
- Authors
- Zur, H., Ruppin, E., & Shlomi, T.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-11-15
- Volume
- 26
- Issue
- 24
- Pages
- 3140-3142
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2172129062
- Cited by
- 357
- References
- 2
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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