iMAT: an integrative metabolic analysis tool

نویسندگان

  • Hadas Zur
  • Eytan Ruppin
  • Tomer Shlomi
چکیده

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/.

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عنوان ژورنال:
  • Bioinformatics

دوره 26 24  شماره 

صفحات  -

تاریخ انتشار 2010