Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Fiehn, Oliver"'
Publikováno v:
The Plant Cell, 2002 Jul 01. 14(7), 1437-1440.
Externí odkaz:
https://www.jstor.org/stable/3871617
Autor:
Bremer, Parker Ladd, Fiehn, Oliver
Publikováno v:
Metabolites (2218-1989); Aug2023, Vol. 13 Issue 8, p941, 12p
Publikováno v:
Journal of Cheminformatics; 7/20/2023, Vol. 15 Issue 1, p1-14, 14p
Autor:
Kim, Taehyong, Dreher, Kate, Nilo-Poyanco, Ricardo, Lee, Insuk, Fiehn, Oliver, Markus Lange, Bernd, Nikolau, Basil J., Sumner, Lloyd, Welti, Ruth, Wurtele, Eve S., Rhee, Seung Y.
Publikováno v:
Plant Physiology, 2015 Apr 01. 167(4), 1671-1684.
Externí odkaz:
https://www.jstor.org/stable/24801859
Autor:
Bais, Preeti, Moon, Stephanie M., He, Kun, Leitao, Ricardo, Dreher, Kate, Walk, Tom, Sucaet, Yves, Barkan, Lenore, Wohlgemuth, Gert, Roth, Mary R., Wurtele, Eve Syrkin, Dixon, Philip, Fiehn, Oliver, Lange, B. Markus, Shulaev, Vladimir, Sumner, Lloyd W., Welti, Ruth, Nikolau, Basil J., Rhee, Seung Y., Dickerson, Julie A.
Publikováno v:
Plant Physiology, 2010 Apr 01. 152(4), 1807-1816.
Externí odkaz:
https://www.jstor.org/stable/25680782
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Access to high quality metabolomics data has become a routine component for biological studies. However, interpreting those datasets in biological contexts remains a challenge, especially because many identified metabolites are not found in biochemic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::4b5eaebf0358fbc2e419175e08900c9d
https://escholarship.org/uc/item/5v15g164
https://escholarship.org/uc/item/5v15g164
Autor:
Lai, Zijuan, Tsugawa, Hiroshi, Wohlgemuth, Gert, Mehta, Sajjan, Mueller, Matthew, Zheng, Yuxuan, Ogiwara, Atsushi, Meissen, John, Showalter, Megan, Takeuchi, Kohei, Kind, Tobias, Beal, Peter, Arita, Masanori, Fiehn, Oliver
Publikováno v:
Nature methods, vol 15, iss 1
Novel metabolites distinct from canonical pathways can be identified through the integration of three cheminformatics tools: BinVestigate, which queries the BinBase gas chromatography-mass spectrometry (GC-MS) metabolome database to match unknowns wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8becfac55e856beaeaf9b2c3790dd8fd
https://escholarship.org/uc/item/9hh6w1s2
https://escholarship.org/uc/item/9hh6w1s2
Publikováno v:
Analytical chemistry, vol 89, iss 19
Mass spectrometry-based untargeted metabolomics often detects statistically significant metabolites that cannot be readily identified. Without defined chemical structure, interpretation of the biochemical relevance is not feasible. Epimetabolites are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::328eeeeb2e5a24b0744460c60b4ecff8
https://escholarship.org/uc/item/0kc4q41b
https://escholarship.org/uc/item/0kc4q41b
Autor:
Kind, Tobias1 tkind@ucdavis.edu, Fiehn, Oliver1 ofiehn@ucdavis.edu
Publikováno v:
BMC Bioinformatics. 2006, Vol. 7, p1-10. 10p. 3 Diagrams, 3 Charts, 2 Graphs.