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Goal IDARE - Integrated Data Nodes for Regulation, in support of the "Integrated analysis of transcript level regulation of metabolism reveals disease relevant nodes of the human metabolic network", was envisioned and develop to provide a simple and familiar way of showing expression and regulatory data in context of metabolism. Using the full RECON1 metabolic pathway maps, it provides easy links to biochemical knowledge and extends from current representations by introducing gene metanodes in association to the metabolic pathways. We show the general applicability of the IDARE concept with two distinct data sets, one from HUVEC multiple transcription factor binding data (static) and the other from human SGBS adipocyte differentiation related (dynamic) data. The utility brought by IDARE relies on providing a direct way of hypothesizing and interpreting the metabolic outcome of regulation, through visualizing data-customized gene metanodes linked to metabolic p

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