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Because biological interpretation of pathways is more straightforward, we report only on KEGG results.
Beyond facilitating the interpretation of pathways in a gene-oriented manner, the approach also assigns unique identifiers to nodes, enabling merging graphs from different pathways.
Although the personalized interpretation of pathways can be demanding, most current pathway analyses have been developed to investigate deregulated pathways between two phenotype groups.
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This is important for readability and interpretation of pathway biology.
To advance more on a mechanistic interpretation of pathway activation, a new context-specific metric termed a Pathway Deregulation Score (PDS) has been set forward [ 23].
Note that KEGG incorporates information for all species available, so many pathways may include enzymes that are not relevant leading to misleading interpretations of pathways that might appear absent or present in the species.
Interpretation of fragmentation pathways of the β-elimination/addition products enabled straightforward recognition of glycosylation site.
Our modeling approach thus represents a first step beyond the qualitative interpretation of linear pathways when the paucity of information precludes more detailed modeling.
To address these daunting difficulties, we have developed a new non-ambiguous formal interpretation of signaling pathways as discrete dynamic models.
We do not believe that control for these variables is absolutely necessary and can be guided by modeling and appropriate interpretation of causal pathways.
We still need a strict taxonomical revision of the Mesozoic mantis shrimps, but this first examination already demonstrates the importance of these fossils for understanding mantis shrimp evolution and the interpretation of evolutionary pathways of particular features.
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