Objective
Experimental proteomics is a promising and growing domain, as state-of-the-art equipment allows for accurate, fast and environment-friendly research and diagnostics. However, current high performance experimental equipment is often complex, making setting up experiments and interpreting the results non-trivial.
Currently available models often are inaccurate, consider a single experimental step in isolation, and don't adapt to the specific characteristics of the equipment used.
This PoC project aims at offering software, support and training for experimental proteomics based on data mining techniques developed in the ErcStG project MiGraNT. This technology allows for accurately modeling the characteristics of the experimental steps and provides advanced global inference techniques which can be applied for designing experiments, interpreting results and other forms of support useful for scientific discovery and quality control.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencescomputer and information sciencesdata sciencedata mining
- social sciencessociologydemographyhuman migrations
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Call for proposal
ERC-2013-PoC
See other projects for this call
Funding Scheme
CSA-SA(POC) - Supporting action (Proof of Concept)Host institution
3000 Leuven
Belgium