Webinar

Data-Driven Quality Control &

Batch Correction in Metabolomics

Descrição

For any NMR or mass spectrometry based analytical assay it is considered best practice to include mechanisms for assessing the quality of acquired analyte concentrations. This is particularly important for untargeted metabolomics, where many hundreds of metabolites may be (relatively) quantified in parallel, with metabolite identification performed post hoc, making it is impossible to calibrate each metabolite to an internal standard, and equally, making it impossible to ensure optimal peak-shape for all detected features. This leaves the acquired data open to unwanted within- and between-batch variation throughout a given experiment. For over a decade, the use of repeat-injection pooled quality control samples has proven to be a popular means of monitoring the precision of acquired data. In this webinar I will briefly outline current best practices and demonstrate a new software package (qcmxp.org) for assessing and potentially improving the precision of untargeted metabolomics data collect using these protocols.

​Inscrição prévia obrigatória. Clique aqui para inscrever-se

​

Um email de confirmação com o link de acesso será encaminhado ao email de inscrição.​