PhenoMeNal (Phenome and Metabolome aNalysis) is a comprehensive and standardised e-infrastructure that supports the data processing and analysis pipelines for molecular phenotype data generated by metabolomics applications.
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Cloud Research Environment
Click to see how to deploy your own Cloud Research Environment (CRE) for Metabolomics data analysis on private or public cloud providers.

14 participants across the UK and Europe.
User documentation and developer resources.
PhenoMeNal GitHub Repos.

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Computational workflow to study the seasonal variation of secondary metabolites in nine different bryophytes, Peters et al. @PhnmlH2020 #usegalaxy

The @PhnmlH2020 portal was officially launched, allowing researchers and clinicians to analyse large metabolomics datasets:
See how EGI supports PhenoMeNal:
#CloudComputing #science

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PhenoMeNal: An online portal for metabolomics

Release Dalcotidine now Live

The PhenoMeNal release team is happy to announce its 2018.08 release “Dalcotidine”! The release focuses on stability, introduction of new tools and workflows and updates to the PhenoMeNal Cloud Research Portal user interface in response to the feedback we have received in our usability tests. A summary of the notable new features in 2018.08 are:…

Webinar – Metabolomics in Systems Biology

Date: Tuesday 17 July 2018, 11:00 -  12:00 (BST) Abstract: This webinar will show how the interpretation of metabolomics data can be boosted by deploying systems biology approaches. Systems biology-enhanced analysis of data can provide insights into the molecular mechanisms that originated the observed metabolic profiles, enhancing the impact of metabolomics studies. In this webinar we provide an overview of system…