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The KEGG pathways were loaded with the R package KEGGgraph [ 55] and processed using BioNet [ 35] and igraph [ 56].
The pathways were loaded as networks using the WikiPathways app [ 16] and an identifier mapping step was performed with the BridgeDb App [ 17] to unify the identifiers to Ensembl for gene products and HMDB for metabolites.
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When pathways are loaded from ReactomeFIPlugin, the edge annotation column contains often more than 1 entry.
In the first way, pathways are loaded with the complete visual appearance of the original at WikiPathways, including graphical annotations and labels.
In parallel to the import of the experimental data, 38 metabolic reference pathways are loaded from the MetaCrop database and merged into one SBGN network.
In the second way, pathways are loaded as simplified networks, focusing on the biological entities and their interactions without any of the graphical elements of the original pathway diagram.
When the pathway is loaded from a plugin inside Cytoscape, like Reactome, the network file is not saved yet.
Once the user selects a pathway from the dropdown list in the SimCom tool, a model list for the selected pathway is loaded automatically.
Once the user selects a pathway from the dropdown list, a model list for the selected pathway is loaded under it.
Once the user picks the pathway, the next combo box to pick the reaction in that pathway is loaded with only the reactions in that pathway, and the rest is discarded.
To examine the difference in gene expression between the two groups at the pathway level, data were loaded into GSEA 2.0.1 and GO-Elite 1.19.
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