iMAT: an integrative metabolic analysis tool | Zendy

Hadas Zur | Zendy; Eytan Ruppin | Zendy; Tomer Shlomi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

iMAT: an integrative metabolic analysis tool

Author(s) -

Hadas Zur,

Eytan Ruppin,

Tomer Shlomi

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq602

Subject(s) - metabolic network , computational biology , computer science , metabolic pathway , flux (metallurgy) , metabolic flux analysis , flux balance analysis , metabolic activity , bioinformatics , enzyme , biology , metabolism , chemistry , biological system , biochemistry , organic chemistry

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research