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.
See About us.

App Library
Application Library (service catalogue) listing open source tools currently available through the PhenoMeNal Cloud Research Environment (CRE).

Cloud Research Environment
Deploy your own Cloud Research Environment (CRE) for Metabolomics data analysis on private and public cloud providers.
PhenoMeNal Galaxy Installation
Access all our available tools through an open Galaxy workflow installation which runs on an scalable infrastructure provided by PhenoMeNal partners.
User Support
Our online training page offers tutorials on PhenoMeNal Cloud Research Environment deployment, workflow creation and tools usage.

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

Contact Us
For feedback and questions, email us or use our Online Feedback Form.

Latest News


Want to see how a typical analysis may benefit from up-scaling to a cloud solution? Tune in to our webinar on 7 Feb on Metabolomics in the Cloud: Scaling Computational Tools to Big Data. Register: #metabolomics @EBItraining @tebbels

Are you a researcher new to the field of metabolomics? Application is now open for Introduction to Metabolomics Analysis, 20-23 March, 2018. See link for more information: #Metabolomics #DataAnalysis

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Latest News

Webinar – Metabolomics in the Cloud: Scaling Computational Tools to Big Data

Date and Time:  Wednesday 7 February 2018, 16:00 -  17:00 GMT Abstract:  In this webinar, Dr. Timothy Ebbels, Faculty of Medicine, Department of Surgery & Cancer, Imperial College London, will talk on how a typical analysis may benefit from up-scaling to a cloud solution, using a conventional NMR tool, BATMAN and examine how it performs on differing levels of compute resources. The tests were carried…

Drop by our booth – MetaboMeeting 2017

PhenoMeNal team is looking forward to meeting you at MetaboMeeting 2017, 11-13th December, University of Birmingham, UK.  Visit us for a hands-on session on using Cloud Research Environment (CRE) for data analysis. See schedule below:  

Tool from the App Library – BATMAN

BATMAN: Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra Bayesian automated metabolite analyzer for NMR (BATMAN) is an open source R-package for estimation of concentration of metabolites from Nuclear Magnetic Resonance spectral data. The software uses a Bayesian model of 1D NMR spectra to automatically deconvolve and quantify metabolites in complex mixtures.…