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PhenoMeNal

PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

PhenoMeNal project word cloud

Explore the words cloud of the PhenoMeNal project. It provides you a very rough idea of what is the project "PhenoMeNal" about.

ing link phenotyping citizens routinely decade solution scientific organism first data mining personalised genome phenome determined genotyping petabytes 500 time biomedical 000 nutrition acquisition hard least single centre population patients compute influences amount portions blood genotype service external sizable deploy 20 exercise exabyte dramatic medical saliva national compliant collection entering age eea exposome urine privacy dynamic molecular demands exceeds complemented services magnitude phenomenal amounts solutions clinic moment secure samples genomes personal coming considering behavioural period plasma massive exists generate sustainable metabolomics biofluids pose alone infrastructure metabolic permanent founded human medicine cheaper metabolome demand volume truly environmental captures

Project "PhenoMeNal" data sheet

The following table provides information about the project.

Coordinator	EUROPEAN MOLECULAR BIOLOGY LABORATORY Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 website: http://www.embl.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Project website	http://phenomenal-h2020.eu/home/
Total cost	8˙005˙909 €
EC max contribution	7˙684˙919 € (96%)
Programme	1. H2020-EU.1.4.1.3. (Development, deployment and operation of ICT-based e-infrastructures)
Code Call	H2020-EINFRA-2014-2
Funding Scheme	RIA
Starting year	2015
Duration (year-month-day)	from 2015-09-01 to 2018-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	EUROPEAN MOLECULAR BIOLOGY LABORATORY EUROPEAN MOLECULAR BIOLOGY LABORATORY Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 website: http://www.embl.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (HEIDELBERG)	coordinator	1˙848˙460.00
2	IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ website: http://www.imperial.ac.uk/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	participant	1˙232˙095.00
3	UPPSALA UNIVERSITET UPPSALA UNIVERSITET Organization address address: VON KRAEMERS ALLE 4 city: UPPSALA postcode: 751 05 website: www.uu.se contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	SE (UPPSALA)	participant	916˙655.00
4	THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Organization address address: WELLINGTON SQUARE UNIVERSITY OFFICES city: OXFORD postcode: OX1 2JD website: www.ox.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (OXFORD)	participant	777˙761.00
5	LEIBNIZ-INSTITUT FUR PFLANZENBIOCHEMIE LEIBNIZ-INSTITUT FUR PFLANZENBIOCHEMIE Organization address address: Weinberg 3 city: Halle postcode: 6120 website: www.ipb-halle.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (Halle)	participant	632˙500.00
6	UNIVERSITEIT LEIDEN UNIVERSITEIT LEIDEN Organization address address: RAPENBURG 70 city: LEIDEN postcode: 2311 EZ website: www.universiteitleiden.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (LEIDEN)	participant	528˙930.00
7	COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES Organization address address: RUE LEBLANC 25 city: PARIS 15 postcode: 75015 website: www.cea.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS 15)	participant	379˙749.00
8	UNIVERSITAT DE BARCELONA UNIVERSITAT DE BARCELONA Organization address address: GRAN VIA DE LES CORTS CATALANES 585 city: BARCELONA postcode: 8007 website: http://www.ub.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (BARCELONA)	participant	365˙937.00
9	THE UNIVERSITY OF BIRMINGHAM THE UNIVERSITY OF BIRMINGHAM Organization address address: Edgbaston city: BIRMINGHAM postcode: B15 2TT website: www.bham.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (BIRMINGHAM)	participant	280˙376.00
10	INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT Organization address address: Rue De L'Universite 147 city: PARIS CEDEX 07 postcode: 75338 website: www.inra.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS CEDEX 07)	participant	276˙833.00
11	CONSORZIO INTERUNIVERSITARIO RISONANZE MAGNETICHE DI METALLO PROTEINE CONSORZIO INTERUNIVERSITARIO RISONANZE MAGNETICHE DI METALLO PROTEINE Organization address address: PIAZZA SAN MARCO 4 city: FIRENZE postcode: 50121 website: www.cerm.unifi.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (FIRENZE)	participant	225˙750.00
12	CENTRO DI RICERCA, SVILUPPO E STUDI SUPERIORI IN SARDEGNA SOCIETÀ A RESPONSABILITÀ LIMITATA CENTRO DI RICERCA, SVILUPPO E STUDI SUPERIORI IN SARDEGNA SOCIETÀ A RESPONSABILITÀ LIMITATA Organization address address: LOCALITA PISCINA MANNA EDIFICIO 1 city: PULA CAGLIARI postcode: 9010 website: www.crs4.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (PULA CAGLIARI)	participant	203˙995.00
13	BIOBANKS AND BIOMOLECULAR RESOURCESRESEARCH INFRASTRUCTURE CONSORTIUM(BBMRI-ERIC) BIOBANKS AND BIOMOLECULAR RESOURCESRESEARCH INFRASTRUCTURE CONSORTIUM(BBMRI-ERIC) Organization address address: NEUE STIFTINGTALSTRASSE 2/B/6 city: GRAZ postcode: 8010 website: www.bbmri-eric.eu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (GRAZ)	participant	15˙875.00
14	SIB INSTITUT SUISSE DE BIOINFORMATIQUE SIB INSTITUT SUISSE DE BIOINFORMATIQUE Organization address address: RUE MICHEL SERVET 1 CMU city: GENEVE postcode: 1206 website: www.isb-sib.ch contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (GENEVE)	participant	0.00

Map

Project objective

In the coming decade a significant number of the 500.000.000 European (EU/EEA) citizens will have their genome determined routinely. This will be complemented with much cheaper (currently ~20 Euro per measurement) acquisition of the metabolome of biofluids (e.g. urine, saliva, blood plasma) which will link the genotype with metabolome data that captures the highly dynamic phenome and exposome of patients. Having such low cost solutions will enable, for the first time, the development of a truly personalised and evidence-based medicine founded on hard scientific measurements. The exposome includes the metabolic information resulting from all the external influences on the human organism such as age, behavioural factors like exercise and nutrition or other environmental factors. Considering that the amount of data generated by molecular phenotyping exceeds the data volume of personal genomes by at least an order of magnitude, the collection of such information will pose dramatic demands on biomedical data management and compute capabilities in Europe. For example, a single typical National Phenome Centre, managing only around 100,000 human samples per year, can generate more than 2 Petabytes of data during this period alone. A scale-up to sizable portions of the European population over time will require data analysis services capable to work on exabyte-scale amounts of biomedical phenotyping data, for which no viable solution exists at the moment. The PhenoMeNal project will develop and deploy an integrated, secure, permanent, on-demand service-driven, privacy-compliant and sustainable e-infrastructure for the processing, analysis and information-mining of the massive amount of medical molecular phenotyping and genotyping data that will be generated by metabolomics applications now entering research and clinic.

Deliverables

List of deliverables.
D9.4 Updated report on existing software tools, workflows and analytical pipelines supported in PhenoMeNal	Documents, reports	2019-10-07 09:07:40
D3.4.1 Two training workshops on omics data deposition, grid processing, dissemination and access	Other	2019-10-07 09:07:40
D9.5.4 Updated Compute Virtual Machine Image 4	Other	2019-10-07 09:07:40
D9.5.2 Updated Data Processing Virtual Machine Image 2	Other	2019-10-07 09:07:40
D9.2.5 Portal Virtual Machine Image 5 that is capable of integrating other PhenoMeNal-VMIs (in local federated clouds) and make all functionality available via command-line, Web-APIs, and graphical user interfaces	Other	2019-10-07 09:07:40
D4.3 Consensus agreement document from the working groups	Documents, reports	2019-10-07 09:07:40
D9.5.3 Updated Services Virtual Machine Image 3	Other	2019-10-07 09:07:40
D6.5 Training and online tutorial for the general use of the PhenoMeNal	Websites, patent fillings, videos etc.	2019-10-07 09:07:40
D4.4 Report on State-of-The-Art and Perspectives in the field	Documents, reports	2019-10-07 09:07:40
D9.5.1 Updated Preprocess Virtual Machine Image 1	Other	2019-10-07 09:07:40
D8.4.2 Reference implementation guidelines and validation rules	Other	2019-10-07 09:07:40
D6.4 Participating Biobanks and repositories connected to the VRC	Other	2019-10-07 09:07:40
D5.4 A federated cloud/grid system running on partnersâ€™ infrastructures for public data and tools. All services available. Operational installation at ICL clinical site for decision support	Other	2019-10-07 09:07:40
D5.3 Operational grid/cloud allowing for combining data, tools, and compute VMIs. Most services available. Functional integration with EGI federated cloud/grid for compute resources. Demonstrated analysis on private/sensitive data in secure environment	Other	2019-10-07 09:07:40
D9.3 Report API access to PhenoMeNal Resources	Documents, reports	2019-10-07 09:07:40
D3.4.2 Two training workshops on omics data deposition, grid processing, dissemination and access	Other	2019-10-07 09:07:40
D1.5.3 Updated Data Management Plan (H2020 Open Research Data Pilot)	Open Research Data Pilot	2019-10-07 09:07:40
D9.5.5 Updated Portal Virtual Machine Image 5	Other	2019-10-07 09:07:40
D7.1.2 Workshop 2 on best practices in handling sensitive human data, taking into account National and Institutional legal policies	Other	2019-10-07 09:07:40
\"D3.3.2 Web-based Tutorial release 2 about \"\"Metabolomics Data Deposition and Analysis through PhenoMeNalâ€, in the form of video clips\"	Websites, patent fillings, videos etc.	2019-10-07 09:07:40
D8.4.1 Specifications for derived data matrices specifications and terminology for description of analysis and statistical results	Other	2019-10-07 09:07:40
D8.2 Modularized ISA model and format: biospecimen centric schema, corresponding xml schemas, reference implementation guidelines and validation rules	Other	2019-10-07 09:07:40
D9.2.1 PhenoMeNal-Preprocess Virtual Machine Image 1 to enable data producers to locally process raw data into standard formats supported in PhenoMeNal	Other	2019-10-07 09:07:39
D7.1.1 Workshop 1 on best practices in handling sensitive human data, taking into account National and Institutional legal policies	Other	2019-10-07 09:07:38
D8.3 nmrML, mzML data exchange formats and associated terminologies for instrument raw, with reference implementation guidelines and validation rules	Other	2019-10-07 09:07:39
D7.2 Report on policies and procedures for sensitive human data management	Documents, reports	2019-10-07 09:07:39
D5.2 A beta-version of PhenoMeNal integration VMI capable of proof- of-concept integration with other VMIs. Initial services online supporting PhenoMeNal data standards	Other	2019-10-07 09:07:38
D9.2.4 Compute Virtual Machine Image 4 to enable standardised compute capabilities for all the grid supplying partners	Other	2019-10-07 09:07:39
D9.2.3 Services Virtual Machine Image 3 to facilitate the PhenoMeNal toolsets and pipelines, both locally and in the grid	Other	2019-10-07 09:07:39
D9.2.2 PhenoMeNal-Data Virtual Machine Image 2 to enable sharing and dissemination of standardised and processed omics data to participating online repositories, like MetaboLights	Other	2019-10-07 09:07:39
D8.4 Signal processing and analysis data exchange format	Other	2019-10-07 09:07:39
D7.4 Process to extract maximum information from sensitive datasets with minimum compromise, in collaboration with BBMRI and BioMedBridges	Other	2019-10-07 09:07:39
D5.1 Build System with continuous integration, providing development snapshots of PhenoMeNal Virtual Machine Images	Other	2019-10-07 09:07:38
D1.5.2 Updated Data Management Plan (H2020 Open Research Data Pilot)	Open Research Data Pilot	2019-10-07 09:07:38
D4.2 Report describing the activity and output of working groups	Documents, reports	2019-10-07 09:07:38
D4.1Report on requirements for relevant research centers producing and/or consuming metabolomics data with respect to computational aspects, data storage, and infrastructural needs	Documents, reports	2019-10-07 09:07:38
\"D3.3.1 Web-based Tutorial release 1 about \"\"Metabolomics Data Deposition and Analysis through PhenoMeNalâ€, in the form of video clips\"	Websites, patent fillings, videos etc.	2019-10-07 09:07:38
D8.1 Report on community standards for reporting, access and integrity supported in the PhenoMeNal grid; to be disseminated in a dedicated BioSharing page and via the project website	Documents, reports	2019-10-07 09:07:39
D9.1 Report on existing software tools, workflows and analytical pipelines initially supported in the PhenoMeNal grid	Documents, reports	2019-10-07 09:07:39
D6.3 Online user feedback form	Websites, patent fillings, videos etc.	2019-10-07 09:07:38
D6.2 PhenoMeNal VRC (static) portal publicly available	Websites, patent fillings, videos etc.	2019-10-07 09:07:38
D1.5.1 Data Management Plan (H2020 Open Research Data Pilot)	Open Research Data Pilot	2019-10-07 09:07:38

Take a look to the deliverables list in detail: detailed list of PhenoMeNal deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2017	Stephanie Herman, Payam Emami Khoonsari, Obaid Aftab, Shibu Krishnan, Emil StrÃ¶mbom, Rolf Larsson, Ulf Hammerling, Ola Spjuth, Kim Kultima, Mats Gustafsson Mass spectrometry based metabolomics for in vitro systems pharmacology: pitfalls, challenges, and computational solutions published pages: , ISSN: 1573-3882, DOI: 10.1007/s11306-017-1213-z	Metabolomics 13/7	2019-10-07
2017	Panteleimon G. Takis, Hartmut SchÃ¤fer, Manfred Spraul, Claudio Luchinat Deconvoluting interrelationships between concentrations and chemical shifts in urine provides a powerful analysis tool published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-017-01587-0	Nature Communications 8/1	2019-10-07
2018	Maria Caracausi, Veronica Ghini, Chiara Locatelli, Martina Mericio, Allison Piovesan, Francesca Antonaros, Maria Chiara Pelleri, Lorenza Vitale, Rosa Anna Vacca, Federica Bedetti, Maria Chiara Mimmi, Claudio Luchinat, Paola Turano, Pierluigi Strippoli, Guido Cocchi Plasma and urinary metabolomic profiles of Down syndrome correlate with alteration of mitochondrial metabolism published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-20834-y	Scientific Reports 8/1	2019-10-07
2017	Van Rijswijk, Merlijn; Beirnaert, Charlie; Caron, Christophe; Cascante, Marta; Dominguez, Victoria; Dunn, Warwick B.; Ebbels, Timothy M. D.; Giacomoni, Franck; Gonzalez-beltran, Alejandra; Hankemeier, Thomas; Haug, Kenneth; Izquierdo-garcia, Jose L.; Jimenez, Rafael C.; Jourdan, Fabien; Kale, Namrata; Klapa, Maria I.; Kohlbacher, Oliver; Koort, Kairi; Kultima, Kim; Le CorguillÃ©, Gildas; Moreno, Pablo; Moschonas, Nicholas K.; Neumann, Steffen; Oâ€™Donovan, Claire; Reczko, Martin; Rocca-serra, Philippe; Rosato, Antonio; Salek, Reza M.; Sansone, Susanna-assunta; Satagopam, Venkata; Schober, Daniel; Shimmo, Ruth; Spicer, Rachel A.; Spjuth, Ola; ThÃ©venot, Etienne A.; Viant, Mark R.; Weber, Ralf J. M.; Willighagen, Egon L.; Zanetti, Gianluigi; Steinbeck, Christoph The future of metabolomics in ELIXIR published pages: , ISSN: 2046-1402, DOI: 10.17863/CAM.17780	F1000Research, 6 8	2019-10-07
2017	Linda S. L. Tan, Ajay Jasra, Maria De Iorio, Timothy M. D. Ebbels Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks published pages: 2222-2251, ISSN: 1932-6157, DOI: 10.1214/17-AOAS1076	The Annals of Applied Statistics 11/4	2019-10-07
2018	Lifeng Ye, Maria De Iorio, Timothy M. D. Ebbels Bayesian estimation of the number of protonation sites for urinary metabolites from NMR spectroscopic data published pages: , ISSN: 1573-3882, DOI: 10.1007/s11306-018-1351-y	Metabolomics 14/5	2019-10-07
2017	Spicer, Rachel; Salek, RM; Moreno, P; CanÌƒueto, C; Steinbeck, C Navigating freely-available software tools for metabolomics analysis published pages: , ISSN: 1573-3882, DOI: 10.17863/CAM.13427	Metabolomics 5	2019-10-07
2017	Rico Rueedi, Roger Mallol, Johannes Raffler, David Lamparter, Nele Friedrich, Peter Vollenweider, GÃ©rard Waeber, Gabi KastenmÃ¼ller, ZoltÃ¡n Kutalik, Sven Bergmann Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy published pages: e1005839, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005839	PLOS Computational Biology 13/12	2019-10-07
2017	Maxime Chazalviel, ClÃ©ment Frainay, Nathalie Poupin, Florence Vinson, Benjamin Merlet, Yoann Gloaguen, Ludovic Cottret, Fabien Jourdan MetExploreViz: web component for interactive metabolic network visualization published pages: 312-313, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btx588	Bioinformatics 34/2	2019-10-07
2018	Mark D. Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier A design framework and exemplar metrics for FAIRness published pages: 180118, ISSN: 2052-4463, DOI: 10.1038/sdata.2018.118	Scientific Data 5	2019-10-07
2018	Antonio Rosato, Leonardo Tenori, Marta Cascante, Pedro Ramon De Atauri Carulla, Vitor A. P. Martins dos Santos, Edoardo Saccenti From correlation to causation: analysis of metabolomics data using systems biology approaches published pages: , ISSN: 1573-3882, DOI: 10.1007/s11306-018-1335-y	Metabolomics 14/4	2019-10-07
2017	Kenneth Haug, Reza M Salek, Christoph Steinbeck Global open data management in metabolomics published pages: 58-63, ISSN: 1367-5931, DOI: 10.1016/j.cbpa.2016.12.024	Current Opinion in Chemical Biology 36	2019-10-07
2017	Vitaly A. Selivanov, AdriÃ¡n Benito, Anibal Miranda, Esther Aguilar, Ibrahim Halil Polat, Josep J. Centelles, Anusha Jayaraman, Paul W. N. Lee, Silvia Marin, Marta Cascante MIDcor, an R-program for deciphering mass interferences in mass spectra of metabolites enriched in stable isotopes published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-017-1513-3	BMC Bioinformatics 18/1	2019-10-07
2016	Anita Bandrowski, Ryan Brinkman, Mathias Brochhausen, Matthew H. Brush, Bill Bug, Marcus C. Chibucos, Kevin Clancy, MÃ©lanie Courtot, Dirk Derom, Michel Dumontier, Liju Fan, Jennifer Fostel, Gilberto Fragoso, Frank Gibson, Alejandra Gonzalez-Beltran, Melissa A. Haendel, Yongqun He, Mervi Heiskanen, Tina Hernandez-Boussard, Mark Jensen, Yu Lin, Allyson L. Lister, Phillip Lord, James Malone, Elisabetta Manduchi, Monnie McGee, Norman Morrison, James A. Overton, Helen Parkinson, Bjoern Peters, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Richard H. Scheuermann, Daniel Schober, Barry Smith, Larisa N. Soldatova, Christian J. Stoeckert, Chris F. Taylor, Carlo Torniai, Jessica A. Turner, Randi Vita, Patricia L. Whetzel, Jie Zheng The Ontology for Biomedical Investigations published pages: e0154556, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0154556	PLOS ONE 11/4	2019-10-07
2016	Nils ePaulhe; Benjamin eMerlet; Yoann eGloaguen; ClÃ©ment eFrainay; Nathalie ePoupin; Fabien eJourdan; Maxime eChazalviel; Florence eVinson; Franck eGiacomoni A computational solution to automatically map metabolite libraries in the context of genome scale metabolic networks published pages: , ISSN: 2296-889X, DOI: 10.3389/fmolb.2016.00002	Frontiers in Molecular Biosciences, Vol 3 (2016) 3	2019-10-07
2017	Panteleimon G. Takis, Leonardo Tenori, Enrico Ravera, Claudio Luchinat Gelified Biofluids for High-Resolution Magic Angle Spinning 1 H NMR Analysis: The Case of Urine published pages: 1054-1058, ISSN: 0003-2700, DOI: 10.1021/acs.analchem.6b04318	Analytical Chemistry 89/2	2019-10-07
2016	Ibrahim Karaman, Diana L. S. Ferreira, Claire L. BoulangÃ©, Manuja R. Kaluarachchi, David Herrington, Anthony C. Dona, RaphaÃ«le CastagnÃ©, Alireza Moayyeri, Benjamin Lehne, Marie Loh, Paul S. de Vries, Abbas Dehghan, Oscar H. Franco, Albert Hofman, Evangelos Evangelou, Ioanna Tzoulaki, Paul Elliott, John C. Lindon, Timothy M. D. Ebbels Workflow for Integrated Processing of Multicohort Untargeted 1 H NMR Metabolomics Data in Large-Scale Metabolic Epidemiology published pages: 4188-4194, ISSN: 1535-3893, DOI: 10.1021/acs.jproteome.6b00125	Journal of Proteome Research 15/12	2019-10-07
2016	Stefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, David A. MacIntyre KODAMA: an R package for knowledge discovery and data mining published pages: btw705, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btw705	Bioinformatics	2019-10-07
2016	Edoardo Saccenti, Giulia Menichetti, Veronica Ghini, Daniel Remondini, Leonardo Tenori, Claudio Luchinat Entropy-Based Network Representation of the Individual Metabolic Phenotype published pages: 3298-3307, ISSN: 1535-3893, DOI: 10.1021/acs.jproteome.6b00454	Journal of Proteome Research 15/9	2019-10-07
2016	Benjamin J. Blaise, GonÃ§alo Correia, Adrienne Tin, J. Hunter Young, Anne-Claire Vergnaud, Matthew Lewis, Jake T. M. Pearce, Paul Elliott, Jeremy K. Nicholson, Elaine Holmes, Timothy M. D. Ebbels Power Analysis and Sample Size Determination in Metabolic Phenotyping published pages: 5179-5188, ISSN: 0003-2700, DOI: 10.1021/acs.analchem.6b00188	Analytical Chemistry 88/10	2019-10-07
2016	Philippe Rocca-Serra, Reza M. Salek, Masanori Arita, Elon Correa, Saravanan Dayalan, Alejandra Gonzalez-Beltran, Tim Ebbels, Royston Goodacre, Janna Hastings, Kenneth Haug, Albert Koulman, Macha Nikolski, Matej Oresic, Susanna-Assunta Sansone, Daniel Schober, James Smith, Christoph Steinbeck, Mark R. Viant, Steffen Neumann Data standards can boost metabolomics research, and if there is a will, there is a way published pages: , ISSN: 1573-3882, DOI: 10.1007/s11306-015-0879-3	Metabolomics 12/1	2019-10-07

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