Topic Despite the rapid growth and large amount of data produced in the field of metabolomics, there is still a lack of awareness of the importance of targeted metabolomics data pre-processing, i.e. the very first steps of data analysis. Correct data handling at this early stage may significantly enhance later statistical data analysis and finally biological interpretation and biomarker identification. Here we address the cornerstones of standardized data analysis in targeted metabolomics, ranging from common pitfalls in study design, to rules for harmonization of data pre-processing, statistical analysis and biomarker discovery.
What will you learn? - Current computational workflow in targeted metabolomics - Assessment of sample quality using metabolic features - Best practices in data pre-processing and analysis - From raw data to biomarker discovery with open source online tools
Who should attend? - Clinical and basic researchers with an interest in metabolomics - Metabolomics researchers - (Bio-)Statisticians - Analytical chemists - Biologists/Biochemists
Software Developer and Biostatistical Data Analyst Research and Development Biocrates Life Sciences AG
Head of Research and Development Biocrates Life Sciences AG
Biocrates Life Sciences AG provides the fast track to metabolic biomarker signatures.
With targeted metabolomics kits and services for quantitative, reproducible and high throughput analyses, Biocrates enables researchers to acquire comprehensive metabolic information more quickly, and more reliably.
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