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Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing

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Figure

Fig. 1  Applications for Jupyter Notebooks in the postgenomic com-munity. Open virtual notebooks have three main, non-mutually exclusive, applications
Table 1  Glossary of terms
Fig. 2  Metabolomics data analysis workflow. The workflow imple-mented in Tutorials 1 and 2 represents a typical metabolomics data science workflow for a binary classification outcome
Fig. 3  Key elements required for FAIR data analysis, using Jupyter down comments, outputs, and visualisations corresponding to the study
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