ABSTRACT iMAT is an Integrative Metabolic Analysis Tool, enabling the integration of transcriptomic and proteomic data with genomescale metabolic network models to predict enzymes' metabolic flux, based on the method previously described by (Shlomi, Cabili et al. 2008) . The prediction of metabolic fluxes based on high-throughput molecular data sources could help advance our understanding of cellular metabolism, since current experimental approaches are limited to measuring fluxes through merely a few dozen enzymes.
iMAT REF was originally designed for the integration of transcriptomic data.
iMAT : An Integrative Metabolic Analysis Tool
Bioinformatics
Bioinformatics
Computer Science Medicine