PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

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@Article{PBBCCDEFGGHHHHHIJJJKKKKKLLMNNOPPPPRRRRRRSSSSSSTTVVVWZS18,
  author       = {Peters, K. and Bradbury, J. and Bergmann, S. and Capuccini, M. and Cascante, M. and de Atauri, P. and Ebbels, T. and Foguet, C. and Glen, R. and Gonzalez-Beltran, A. and Handakas, E. and Hankemeier, T. and Herman, S. and Haug, K. and Holub, P. and Izzo, M. and Jacob, D. and Johnson, D. and Jourdan, F. and Kale, N. and Karaman, I. and Khalili, B. and Khoonsari, P. and Kultima, K. and Lampa, S. and Larsson, A. and Moreno, P. and Neumann, S. and Novella, J. and O Donovan, C. and Pearce, J. and Peluso, A. and Pireddu, L. and Piras, M. and Reed, M. and Rocca-Serra, P. and Roger, P. and Rosato, A. and Rueedi, R. and Ruttkies, C. and Sadawi, N. and Salek, R. and Sansone, S.-A. and Selivanov, V. and Spjuth, O. and Schober, D. and Thévenot, E. and Tomasoni, M. and van Rijswijk, m. and van Vliet, M. and Viant, M. and Weber, R. and Zanetti, G. and Steinbeck, C.},
  title        = {PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud},
  journal      = {bioRxiv},
  month        = {september},
  year         = {2018},
  publisher    = {Cold Spring Harbor Laboratory},
  keywords     = {cloud,metabolomics},
  doi          = {10.1101/409151},
  url          = {https://publications.crs4.it/pubdocs/2018/PBBCCDEFGGHHHHHIJJJKKKKKLLMNNOPPPPRRRRRRSSSSSSTTVVVWZS18},
}

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