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Omic technologies have enabled the complete readout of the molecular state of a cell at different biological scales. In principle, the combination of multiple omic data types can provide an integrated view of the entire biological system. This integration requires appropriate models in a systems biology approach. Here, we focus on genome-scale models (GEMs) as one computational systems biology approach for interpreting and integrating multi-omic data. GEMs convert the reactions (related todoi:10.1002/pmic.201900282 pmid:32579720 fatcat:h3euvl3j5vggjmbh5buaspz4uy