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 natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomicsnatural sciencescomputer and information sciencesdata sciencebig datanatural scienceschemical sciencesanalytical chemistrymass spectrometrynatural sciencesmathematicsapplied mathematicsmathematical modelnatural sciencesbiological sciencesmolecular biology Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2017 - Individual Fellowships Call for proposal H2020-MSCA-IF-2017 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator EUROPEAN MOLECULAR BIOLOGY LABORATORY Net EU contribution € 97 727,40 Address Meyerhofstrasse 1 69117 Heidelberg Germany See on map Region Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 97 727,40
