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PhenoMeNal: Processing and Analysis of Metabolomics Data in the Cloud

Kristian Peters,James Bradbury,Sven Bergmann,Marco Capuccini,Marta Cascante,Pedro de Atauri,Timothy M. D. Ebbels,Carles Foguet,Robert Glen,Alejandra Gonzalez-Beltran,Ulrich L. Gunther,Evangelos Handakas,Thomas Hankemeier,Kenneth Haug,Stephanie Herman,Petr Holub,Massimiliano Izzo,Daniel Jacob,David Johnson,Fabien Jourdan,Namrata Kale,Ibrahim Karaman,Bita Khalili,Payam Emami Khonsari,Kim Kultima,Samuel Lampa,Anders Larsson,Christian Ludwig,Pablo Moreno,Steffen Neumann,Jon Ander Novella,Claire O'Donovan,Jake T. M. Pearce,Alina Peluso,Marco Enrico Piras,Luca Pireddu,Michelle A. C. Reed,Philippe Rocca-Serra,Pierrick Roger,Antonio Rosato,Rico Rueedi,Christoph Ruttkies,Noureddin Sadawi,Reza M. Salek,Susanna-Assunta Sansone,Vitaly Selivanov,Ola Spjuth,Daniel Schober,Etienne A. Thevenot,Mattia Tomasoni,Merlijn van Rijswijk,Michael van Vliet,Mark R. Viant,Ralf J. M. Weber,Gianluigi Zanetti,Christoph Steinbeck

GIGASCIENCE（2019）

Cited 76|Views144
Key words
metabolomics,data analysis,e-infrastructures,NMR,mass spectrometry,computational workflows,galaxy,cloud computing,standardization,statistics
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