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View your expression data in a pathway context
Reactome can help you understand the biological significance of expression data. The 'Analyze Expression Data' tool overlays your expression data onto Reactome pathway diagrams, using colour to represent the expression level (Figure 2). Complexes (black) can be expanded to see the expression level of their components as a grid.
Figure 2 Using colour-coding to represent experimental expression values on a Reactome pathway diagram.
Identify pathways represented by a list of gene, protein or compound identifiers
The 'Analyze Data' tool takes your list of gene, protein or compound identifiers and maps them onto Reactome pathways (Figure 3). It can determine whether any pathways are significantly over-represented (enriched) in your set, answering the question 'does my list contain more members of certain pathways than would be expected by chance?'
Figure 3 Results from Analyze Data
Find protein or chemical interactors for proteins of interest
You can visualise protein–protein and protein–chemical interaction data as extensions to Reactome pathways. Reactome provides access to established sources such as IntAct, or you can use your own interactions dataset (Figure 4).
Figure 4 Overlay of TNF receptor interactors (from IntAct) onto a Reactome pathway diagram.