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Date: Wednesday 18 April 2018, 16:00 -  17:00 GMT Abstract: Statistical analysis offers powerful approaches to mine complex and high-dimension datasets, find significant features, and build prediction models with high-prediction performance. Due to the high number of methods available, their complex mathematical background, and the potential pitfalls due to biases and overfitting, a good understanding of each step as well as…
The PhenoMeNal consortium is pleased to announce its next round of usability study of its Cloud Research Environment Portal. What is the purpose of the study? The PhenoMeNal Gateway/ Cloud Research Portal is the entry point to an array of useful metabolomics applications, all available through a user-friendly, standard scientific open-source web environments. We use open-source tools…
Venue: Tennis Court Suite, Wellcome Genome Campus -  Hinxton, Cambridge, UK; Date: Wednesday 6 - Friday 8 June 2018 The PhenoMeNal consortium is pleased to announce its next workshop "PhenoMeNal Gateway: Portal to metabolomics data analysis in the cloud" from  6th - 8th June 2018. What is it? This course will provide an introduction to metabolomics data analysis in a cloud…
Date and Time:  Wednesday 4th  April 2018, 14:00 – 15:00 GMT Abstract Ola Spjuth, (Uppsala University), in his webinar on Challenges and Opportunities with Virtual Research Environments, will talk about Virtual Research Environments (VREs) and their application to data analysis. In his presentation, Ola,  will explain the motivation and approach taken by the PhenoMeNal consortium when developing a cloud-agnostic on-demand VRE for metabolomics implemented using…
Venue: EMBL-EBI, UK; Organiser: ICL & EMBL-EBI; Date: February 21st, 2018. PhenoMeNal is hosting a half-day workshop on Ethical, Legal and Social Implications (ELSI). The objectives of the workshop are: To understand ELSI issues governing patient data. Security of the PhenoMeNal Infrastructure including GDPR implications. The workshop will showcase lighting talks by Gauthier Chassang (INSERM), Ben Glampson (Imperial College)…
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…
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:  
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.…
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…
Date and time: Thursday 23rd  November 2017, 4:00 PM – 5:00 PM GMT Abstract: In this webinar, Dr. Steffen Neumann (Leibniz Institute of Plant Biochemistry), will introduce the MetFrag system and then focus on using it in Galaxy as part of the PhenoMeNal infrastructure.  The MetFrag workflow goes a first step to annotate molecules from compound (metabolite) databases to MS/MS (tandem mass spectrometry)…