The Metabolome Annotation Workflow (MAW) is a Liquid Chromatography-Tandem Mass Spectrometry (LC-MS 2 ) based metabolomics data analysis pipeline implemented in R and Python. MAW is developed as part of the Cluster of Excellence "Balance of the Microverse", a research initiative committed to microbial communication research, which aims to implement standard practices and support FAIR data and software implementation . This workflow integrates tools and packages to provide chemical structure annotation to Mass Spectrometry (MS) data. It takes .mzML format spectral () data as input . The final output is a CSV format file containing all spectral features and the associated structural annotations. The origin of the candidate structure is traceable through intermediate CSV/TXT files.