Analysis of metabolic pathways is an essential step to understand behaviours of such pathways. The theoritical approach based on elementary flux modes (efm) studies structural properties of a pathway. Searching efms in a metabolic pathway usually leads to a combinatorial explosion of their number.
ACoM is a classification method of efms. It helps to interpret large sets of efms using agglomeration of common motifs shared by these efm. Common motifs reveal biological functions and links between reactions.
The version in C has to be developped to allow computation of huge sets of efm.
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