BibTex format
@article{Peters:2019:gigascience/giy149,
author = {Peters, K and Bradbury, J and Bergmann, S and Capuccini, M and Cascante, M and de, Atauri P and Ebbels, TMD and Foguet, C and Glen, R and Gonzalez-Beltran, A and Günther, UL and Handakas, E and Hankemeier, T and Haug, K and Herman, S 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 Khonsari, PE and Kultima, K and Lampa, S and Larsson, A and Ludwig, C and Moreno, P and Neumann, S and Novella, JA and O'Donovan, C and Pearce, JTM and Peluso, A and Piras, ME and Pireddu, L and Reed, MAC and Rocca-Serra, P and Roger, P and Rosato, A and Rueedi, R and Ruttkies, C and Sadawi, N and Salek, RM and Sansone, S-A and Selivanov, V and Spjuth, O and Schober, D and Thévenot, EA and Tomasoni, M and van, Rijswijk M and van, Vliet M and Viant, MR and Weber, RJM and Zanetti, G and Steinbeck, C},
doi = {gigascience/giy149},
journal = {GigaScience},
title = {PhenoMeNal: Processing and analysis of metabolomics data in the cloud},
url = {http://dx.doi.org/10.1093/gigascience/giy149},
volume = {8},
year = {2019}
}