Presenting metabolomics analyses: what’s in a number?
Johannes Meiser, Christian Frezza
Abstract
Metabolism analysis is complex, accordingly representation and interpretation of metabolomics and fluxomics data is prone to pitfalls, which, if not considered, can lead to misinterpretations. The purpose of this short advice article is to raise awareness for these pitfalls and provide a guideline for biologists on how to best present metabolomics data.
Topics & Concepts
MetabolomicsBiologyComputational biologyRepresentation (politics)Interpretation (philosophy)Data scienceBioinformaticsComputer sciencePoliticsPolitical scienceProgramming languageLawMetabolomics and Mass Spectrometry StudiesIsotope Analysis in EcologyTraditional Chinese Medicine Studies