Work

iMAT: an integrative metabolic analysis tool

Year: 2010

Type: article

Abstract: 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: [email protected]; [email protected]; [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btq602

Authors: Hadas Zur, Eytan Ruppin, Tomer Shlomi

Institutions: Tel Aviv University, Technion – Israel Institute of Technology

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: Israel Science Foundation

OpenAlex ID: W2172129062