Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Neumann, Steffen"'
Autor:
Peters, Kristian, Worrich, Anja, Weinhold, Alexander, Alka, Oliver, Balcke, Gerd, Birkemeyer, Claudia, Bruelheide, Helge, Calf, Onno W., Dietz, Sophie, Dührkop, Kai, Gaquerel, Emmanuel, Heinig, Uwe, Kücklich, Marlen, Macel, Mirka, Müller, Caroline, Poeschl, Yvonne, Pohnert, Georg, Ristok, Christian, Rodriguez, Victor Manuel, Ruttkies, Christoph, Schuman, Meredith, Schweiger, Rabea, Shahaf, Nir, Steinbeck, Christoph, Tortosa, Maria, Treutler, Hendrik, Ueberschaar, Nico, Velasco, Pablo, Weiß, Brigitte M., Widdig, Anja, Neumann, Steffen, van Dam, Nicole M.
The relatively new research discipline of Eco-Metabolomics is the application of metabolomics techniques to ecology with the aim to characterise biochemical interactions of organisms across different spatial and temporal scales. Metabolomics is an un
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A89263
https://ul.qucosa.de/api/qucosa%3A89263/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A89263/attachment/ATT-0/
Autor:
Dumschott, Kathryn, Dörpholz, Hannah, Laporte, Marie-Angélique, Brilhaus, Dominik, Schrader, Andrea, Usadel, Björn, Neumann, Steffen, Arnaud, Elizabeth, Kranz, Angela
The importance of improving the FAIRness (findability, accessibility, interoperability, reusability) of research data is undeniable, especially in the face of large, complex datasets currently being produced by omics technologies. Facilitating the in
Externí odkaz:
http://arxiv.org/abs/2309.07129
Autor:
Blatt-Janmaat, Kaitlyn, Neumann, Steffen, Schmidt, Florian, Ziegler, Jörg, Peters, Kristian, Qu, Yang yang.qu@unb.ca
Publikováno v:
Botany. 2023, Vol. 101 Issue 7, p232-242. 11p.
Autor:
Blatt-Janmaat, Kaitlyn1,2 (AUTHOR) kaitlyn_blatt-janmaat@hotmail.ca, Neumann, Steffen2,3 (AUTHOR), Schmidt, Florian2 (AUTHOR), Ziegler, Jörg4 (AUTHOR), Qu, Yang1 (AUTHOR), Peters, Kristian2,3,5 (AUTHOR)
Publikováno v:
Metabolomics. Mar2023, Vol. 19 Issue 3, p1-15. 15p.
Autor:
Thum, Andrea, Mönchgesang, Susann, Westphal, Lore, Lübken, Tilo, Rosahl, Sabine, Neumann, Steffen, Posch, Stefan
The canonical correlation analysis (CCA) is commonly used to analyze data sets with paired data, e.g. measurements of gene expression and metabolomic intensities of the same experiments. This allows to find interesting relationships between the data
Externí odkaz:
http://arxiv.org/abs/1405.1534
Akademický článek
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Publikováno v:
In Journal of Biotechnology 10 November 2017 261:137-141
Autor:
Black, Melissa, Lamothe, Lucie, Eldakroury, Hager, Kierkegaard, Mads, Priya, Ankita, Machinda, Anne, Singh Khanduja, Uttam, Patoliya, Drashti, Rathi, Rashika, Che Nico, Tawah Peggy, Umutesi, Gloria, Blankenburg, Claudia, Op, Anita, Chieke, Precious, Babatunde, Omodolapo, Laurie, Steve, Neumann, Steffen, Schwämmle, Veit, Kuzmin, Ivan, Hunter, Chris, Karr, Jonathan, Ison, Jon, Gaignard, Alban, Brancotte, Bryan, Ménager, Hervé, Kalaš, Matúš
Externí odkaz:
https://hdl.handle.net/11250/2988255
Akademický článek
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Autor:
Vicini, Andrea, Gine, Roger, Stravs, Michele, Badia, Josep M, Huber, Carolin, Salzer, Liesa, Stanstrup, Jan, Shahaf, Nir, Naake, Thomas, Hecht, Helge, Neumann, Steffen, Witting, Michael, Gibb, Sebastian, Gatto, Laurent, Rainer, Johannes
Lack of support, maintenance and further development is common with scientific research software. In particular, development by a single researcher can easily result in orphaned software packages, especially if combined with poor documentation or lac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7ff2a4c74e2b383b8637578b102a71