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.

Latest News

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Quote of the day, @csteinbeck citing Donald Rumsfeld #knownunknown #cloudmet #metablomics @PhnmlH2020

@PhnmlH2020 contribution to Future of Metabolomics in @ELIXIREurope https://t.co/dCNNiLQxSq

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Latest News

PhenoMeNal now operational

The PhenoMeNal project is developing a Virtual Research Environment (VRE) also known as the Cloud Research Environment (CRE) for interoperable and scalable metabolomics data analysis. It is designed as a microservice architecture with services being implemented as virtual machines and Docker containers, orchestrated using Kubernetes. The main workflow system in PhenoMeNal is Galaxy, which also…

Workshop on Metabolomics Workflows

  Date: 30th October - 2nd November 2017; Venue: European Bioinformatics Institute (EMBL-EBI), Cambridge,  CB10 1SD, United Kingdom The participants will learn about metabolomics data analysis using publicly available softwares and tools. The training course includes hand-on tutorials on data submissions and using the PhenoMeNal compute platform for a workflow based approach to data analysis. For registration and details click here.

CloudMET 2017 – Registration deadline extended to July 15th 2017!

The PhenoMeNal project in collaboration with the Universities of Cagliari, Jena and Cambridge are organizing the “Scientific School on Cloud-based Metabolomics Data Analysis and Collaboration” , to be held in CRS4’s research campus in [Pula, Sardinia, Italy] on September 11th-15th, 2017.  The School will offer participants an opportunity to learn about current topics in metabolomics, with…