title: iMAT: an integrative metabolic analysis tool.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  http://imat.cs.tau.ac.il/.
authors.affiliation: The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel. zurhadas@post.tau.ac.il
authors.forename: Hadas
authors.initials: H
authors.lastname: Zur
authors.forename: Eytan
authors.initials: E
authors.lastname: Ruppin
authors.forename: Tomer
authors.initials: T
authors.lastname: Shlomi
mesh_terms: D020869:Gene Expression Profiling; D016678:Genome; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D025341:Principal Component Analysis; D040901:Proteomics; D012984:Software