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Nils Hoffmann
Nils Hoffmann
Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
Email verificata su cebitec.uni-bielefeld.de
Titolo
Citata da
Citata da
Anno
Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome
B Peng, S Geue, C Coman, P Münzer, D Kopczynski, C Has, N Hoffmann, ...
Blood, The Journal of the American Society of Hematology 132 (5), e1-e12, 2018
892018
The metaRbolomics Toolbox in Bioconductor and beyond
J Stanstrup, CD Broeckling, R Helmus, N Hoffmann, E Mathé, T Naake, ...
Metabolites 9 (10), 200, 2019
752019
LipidCreator workbench to probe the lipidomic landscape
B Peng, D Kopczynski, BS Pratt, CS Ejsing, B Burla, M Hermansson, ...
Nature Communications 11 (1), 2057, 2020
672020
mzTab-M: a data standard for sharing quantitative results in mass spectrometry metabolomics
N Hoffmann, J Rein, T Sachsenberg, J Hartler, K Haug, G Mayer, O Alka, ...
Analytical chemistry 91 (5), 3302-3310, 2019
522019
Combining peak-and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets
N Hoffmann, M Keck, H Neuweger, M Wilhelm, P Högy, K Niehaus, ...
BMC bioinformatics 13, 1-20, 2012
492012
ChromA: signal-based retention time alignment for chromatography–mass spectrometry data
N Hoffmann, J Stoye
Bioinformatics 25 (16), 2080-2081, 2009
442009
Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data
PHJL Kuich, N Hoffmann, S Kempa
Frontiers in bioengineering and biotechnology 2, 84, 2015
362015
Data-driven aerodynamic modeling using the DLR SMARTy toolbox
P Bekemeyer, A Bertram, DA Hines Chaves, M Dias Ribeiro, A Garbo, ...
AIAA Aviation 2022 Forum, 3899, 2022
312022
Lipidomics informatics for life-science
D Schwudke, A Shevchenko, N Hoffmann, R Ahrends
Journal of biotechnology 261, 131-136, 2017
262017
BiPACE 2D—graph-based multiple alignment for comprehensive 2D gas chromatography-mass spectrometry
N Hoffmann, M Wilhelm, A Doebbe, K Niehaus, J Stoye
Bioinformatics 30 (7), 988-995, 2014
172014
Goslin: a grammar of succinct lipid nomenclature
D Kopczynski, N Hoffmann, B Peng, R Ahrends
Analytical Chemistry 92 (16), 10957-10960, 2020
162020
The metaRbolomics toolbox in bioconductor and beyond. Metabolites 9: 200
J Stanstrup, CD Broeckling, R Helmus, N Hoffmann, E Mathé, T Naake, ...
82019
Training-free hyperparameter optimization of neural networks for electronic structures in matter
L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ...
Machine Learning: Science and Technology 3 (4), 045008, 2022
72022
jmzTab-M: a reference parser, writer, and validator for the proteomics standards initiative mzTab 2.0 metabolomics standard
N Hoffmann, J Hartler, R Ahrends
Analytical chemistry 91 (20), 12615-12618, 2019
62019
The de. NBI/ELIXIR-DE training platform-Bioinformatics training in Germany and across Europe within ELIXIR
D Wibberg, B Batut, P Belmann, J Blom, FO Glöckner, B Grüning, ...
F1000Research 8, 2019
42019
Computational methods for high-throughput metabolomics
N Hoffmann
22014
WBA of the Royal Majesty Accident
L Heidieker, N Hoffmann, P Husemann, PB Ladkin, J Paller, J Sanders, ...
RVS-RR-03-01, RVS Group, University of Bielefeld, 1 July 2003. Available …, 0
2
An alternative wind tunnel data correction based on CFD and experimental data in the transonic flow regime
A Bertram, N Hoffmann, S Goertz, R Gebbink, SR Janssen
AIAA AVIATION 2021 FORUM, 2982, 2021
12021
Finding Electronic Structure Machine Learning Surrogates without Training
L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Electronic Structure Machine Learning Surrogates without Training
L Fiedler, N Hoffmann, P Mohammed, GA Popoola, T Yovell, V Oles, ...
arXiv e-prints, arXiv: 2202.09186, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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