SNIPER

Statistical Network-based Inference for Proteomics Experiment Reasoning

 Coordinatore KATHOLIEKE UNIVERSITEIT LEUVEN 

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 Nazionalità Coordinatore Belgium [BE]
 Totale costo 167˙935 €
 EC contributo 149˙800 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-PoC
 Funding Scheme CSA-SA(POC)
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-08-01   -   2015-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    KATHOLIEKE UNIVERSITEIT LEUVEN

 Organization address address: Oude Markt 13
city: LEUVEN
postcode: 3000

contact info
Titolo: Mrs.
Nome: Karolien
Cognome: Mariën
Email: send email
Telefono: +32 16 373024
Fax: +32 16 326515

BE (LEUVEN) hostInstitution 149˙800.00

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techniques    interpreting    proteomics    experiments    experimental   

 Obiettivo del progetto (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.'

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