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Turn Your Metabolite Features into Biological Answers
Application Note

Turn Your Metabolite Features into Biological Answers

Turn Your Metabolite Features into Biological Answers
Application Note

Turn Your Metabolite Features into Biological Answers

Identifying features from real endogenous metabolites in a sample is a challenge in discovery metabolomics, as many of the features in a dataset arise from other sources. To prevent ambiguity within data processing and metabolite identification, a novel isotopic labeling approach has been developed.

Download this technical note to find out how isotope ratio outlier analysis (IROA®) and SWATH® Acquisition can be used to:
    

  • Yield comprehensive datasets
  • Identify unambiguous metabolites
  • Generate quantifiable isotopically labeled metabolites at a fraction of the price
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