Reactome tools

High-throughput technologies allow researchers to identify gene regulation markers and determine gene expression, protein and metabolite levels for many thousands of molecules in a single experiment, generating huge amounts of data. Interpreting these data requires an understanding of the connections between these molecules (Figure 4). An effective way to do this is to integrate experimental information with well-annotated established pathway data. Reactome fulfils this need by providing free access to detailed pathways combined with analytical tools.

Figure 4 Integrating functional data with curated pathways for effective data analysis.

Reactome includes tools for analysing the pathway context of your data, mapping expression or other quantitative data onto pathways or extending pathways with interactions from external databases. 

In this tutorial we will explore the following Reactome tools in more detail:

  • Pathway over-representation analysis
  • Pathway topology analysis
  • Gene set enrichment analysis
  • Molecular interaction overlay
  • Expression overlay
  • Disease overlay
  • Species projection
  • Tissue projection
  • Functional interaction analysis