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Extending the REACTOME Pathway Database for multi-omics biomedical data analysis

Objective

The increasing availability of high-throughput ‘omics technologies results in unprecedented opportunities for precision medicine and biomedical research. With the increasing availability of large amounts of data (‘big data’), data analysis and interpretation have become a major bottleneck.

Pathway analysis techniques are used to incorporate existing biological knowledge into the data analysis and allow researchers to focus on the interpretation of regulated biological processes. Despite the existence of many advanced pathway analysis algorithms, most leading pathway analysis resources still rely on simplistic ‘gene set over representation’ analyses (ORA) and cannot integrate data from different ‘omics approaches. Reactome is one of the most popular resources for pathway information. Its open-access data model, powerful web interface, and stringent manual curation and peer-review provide an ideal foundation for this project’s developments.

In this project, I will extend Reactome towards an analysis platform for multi-omics biomedical studies. I will replace its current ORA approach with more sophisticated pathway algorithms supporting transcriptomics, microarray, proteomics, and metabolomics data. Next, I will extend Reactome to analyse datasets of samples that cannot be attributed to a phenotype. The extended version of Reactome will be able to derive one expression value per pathway which can then be correlated with clinical parameters to identify clinical relevant biological processes. This will make Reactome a prime resource for multi-omics biomedical studies. I anticipate that the successful completion of this project will allow me to integrate and extend my current skills as a medical doctor and a bioinformatician towards systems biology studies. The additional gained experience in project management and communication of scientific results will form the basis for my envisaged career to start my own interdisciplinary biomedical research group.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2017

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Coordinator

EUROPEAN MOLECULAR BIOLOGY LABORATORY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 97 727,40
Address
Meyerhofstrasse 1
69117 Heidelberg
Germany

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 97 727,40
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