Presenting metabolomics analyses: what is in a number?

Johannes Meiser*, Christian Frezza*

*Corresponding author for this work

Research output: Contribution to journalComment/debate

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.

Original languageEnglish
JournalEMBO Journal
DOIs
Publication statusAccepted/In press - 25 Apr 2024

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