Metabolomics is the comprehensive study of a multitude of small molecules to gain insight into an organism's metabolism. The research field is dynamic and expanding with applications across biomedical, biotechnological, and many other applied biological domains. Its computationally intensive nature has driven requirements for open data formats, data repositories, and data analysis tools. However, the rapid progress has resulted in a mosaic of independent, and sometimes incompatible, analysis methods that are difficult to connect into a useful and complete data analysis solution.
PhenoMeNal: processing and analysis of metabolomics data in the cloud / Peters, Kristian; Bradbury, James; Bergmann, Sven; Capuccini, Marco; Cascante, Marta; de Atauri, Pedro; Ebbels, Timothy M D; Foguet, Carles; Glen, Robert; Gonzalez-Beltran, Alejandra; Günther, Ulrich L; Handakas, Evangelos; Hankemeier, Thomas; Haug, Kenneth; Herman, Stephanie; Holub, Petr; Izzo, Massimiliano; Jacob, Daniel; Johnson, David; Jourdan, Fabien; Kale, Namrata; Karaman, Ibrahim; Khalili, Bita; Emami Khonsari, Payam; Kultima, Kim; Lampa, Samuel; Larsson, Anders; Ludwig, Christian; Moreno, Pablo; Neumann, Steffen; Novella, Jon Ander; O'Donovan, Claire; Pearce, Jake T M; Peluso, Alina; Piras, Marco Enrico; Pireddu, Luca; Reed, Michelle A C; Rocca-Serra, Philippe; Roger, Pierrick; Rosato, Antonio; Rueedi, Rico; Ruttkies, Christoph; Sadawi, Noureddin; Salek, Reza M; Sansone, Susanna-Assunta; Selivanov, Vitaly; Spjuth, Ola; Schober, Daniel; Thévenot, Etienne A; Tomasoni, Mattia; van Rijswijk, Merlijn; van Vliet, Michael; Viant, Mark R; Weber, Ralf J M; Zanetti, Gianluigi; Steinbeck, Christoph. - In: GIGASCIENCE. - ISSN 2047-217X. - ELETTRONICO. - 8:(2019), pp. 0-0. [10.1093/gigascience/giy149]
PhenoMeNal: processing and analysis of metabolomics data in the cloud
Rosato, AntonioMembro del Collaboration Group
;
2019
Abstract
Metabolomics is the comprehensive study of a multitude of small molecules to gain insight into an organism's metabolism. The research field is dynamic and expanding with applications across biomedical, biotechnological, and many other applied biological domains. Its computationally intensive nature has driven requirements for open data formats, data repositories, and data analysis tools. However, the rapid progress has resulted in a mosaic of independent, and sometimes incompatible, analysis methods that are difficult to connect into a useful and complete data analysis solution.
| File | Dimensione | Formato | |
|---|---|---|---|
|
GigasciencePhenoMeNal.pdf
accesso aperto
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Creative commons
Dimensione
2.2 MB
Formato
Adobe PDF
|
2.2 MB | Adobe PDF |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
