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GraphOmics is a dashboard to integrate and explore different types of biological -omics data. Using this tool, you can map transcriptomics, proteomics and metabolomics data onto metabolic pathways. GraphOmics uses Reactome as the knowledge base to map entities across different omics. Methods to rank pathway and highlight interesting connection are also included.

Features include:

Running GraphOmics

An instance of GraphOmics is hosted at Glasgow Polyomics and can be accessed from Alternatively you could also run your own instance by following the setup guide.


Using GraphOmics

User guide to complete an integrated omics analysis using GraphOmics can be found here.

GraphOmics has also been published in BMC Bioinformatics.

Finally a Python package to perform multi-omics data linking and analysis is available at This is the same code used in this Web application but available for stand-alone use in your own application.

If you have any feedback, bug reports or would like to contribute to the development of GraphOmics, please raise an issue on this Github.