Explore the words cloud of the REACTOMEgsa project. It provides you a very rough idea of what is the project "REACTOMEgsa" about.
The following table provides information about the project.
EUROPEAN MOLECULAR BIOLOGY LABORATORY
|Coordinator Country||Germany [DE]|
|Total cost||97˙727 €|
|EC max contribution||97˙727 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2018-08-01 to 2019-07-31|
Take a look of project's partnership.
|1||EUROPEAN MOLECULAR BIOLOGY LABORATORY||DE (HEIDELBERG)||coordinator||97˙727.00|
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.
|year||authors and title||journal||last update|
Johannes Griss, Wolfgang Bauer, Christine Wagner, Martin Simon, Minyi Chen, Katharina Grabmeier-Pfistershammer, Margarita Maurer-Granofszky, Florian Roka, Thomas Penz, Christoph Bock, Gao Zhang, Meenhard Herlyn, Katharina Glatz, Heinz LÃ¤ubli, Kirsten D. Mertz, Peter Petzelbauer, Thomas Wiesner, Markus Hartl, Winfried F. Pickl, Rajasekharan Somasundaram, Peter Steinberger, Stephan N. Wagner
B cells sustain inflammation and predict response to immune checkpoint blockade in human melanoma
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-12160-2
|Nature Communications 10/1||2020-01-22|
Johannes Griss, Goran Vinterhalter, Veit SchwÃ¤mmle
IsoProt: A Complete and Reproducible Workflow To Analyze iTRAQ/TMT Experiments
published pages: 1751-1759, ISSN: 1535-3893, DOI: 10.1021/acs.jproteome.8b00968
|Journal of Proteome Research 18/4||2020-01-22|
Johannes Griss, Florian Stanek, Otto Hudecz, Gerhard DÃ¼rnberger, Yasset Perez-Riverol, Juan Antonio VizcaÃno, Karl Mechtler
Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins
published pages: 1477-1485, ISSN: 1535-3893, DOI: 10.1021/acs.jproteome.8b00377
|Journal of Proteome Research 18/4||2020-01-22|
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