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.

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

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

Tweets

Give a try!! @tebbels #Metabomeeting2017

@PhnmlH2020 Showcase of MS, stat and NMR #workflows in #Galaxy running on @PhnmlH2020

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Latest News

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.…

PhenoMeNal @ SURF

On November 23rd, 2017 the SURF - Special Interest Group: "Compute Resources for Life Science Research" in the Netherlands organised a seminar to explore the state of the art in using compute resources from within Virtual Research Environments (VRE). A small group of bioinformaticians, system administrators, and research IT/project managers shared both their interest and…