20 Publikationen

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  • [20]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968524
    Ni, Z., Wolk, M., Jukes, G., Espinosa, K. M., Ahrends, R., Aimo, L., Alvarez-Jarreta, J., Andrews, S., Andrews, R., Bridge, A., et al. (2022). Guiding the choice of informatics software and tools for lipidomics research applications. Nature Methods .
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2022 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2966976
    Ekroos, K., Ejsing, C., Liebisch, G., Koefeler, H., McDonald, J., Holcapek, M., Hoffmann, N., and Ahrends, R. (2022). Update on guidelines for lipidomics analysis and reporting. Journal of the American Oil Chemists' Society 99, 13-14.
    PUB | DOI | WoS
     
  • [18]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2965107
    McDonald, J. G., Ejsing, C. S., Kopczynski, D., Holcapek, M., Aoki, J., Arita, M., Arita, M., Baker, E. S., Bertrand-Michel, J., Bowden, J. A., et al. (2022). Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism .
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [17]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962357
    Kopczynski, D., Hoffmann, N., Peng, B., Liebisch, G., Spener, F., and Ahrends, R. (2022). Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures. Analytical Chemistry:acs.analchem.1c05430.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [16]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959919
    Borgmeyer, M., Coman, C., Has, C., Schött, H. - F., Li, T., Westhoff, P., Cheung, Y. F. H., Hoffmann, N., Yuanxiang, P. A., Behnisch, T., et al. (2021). Multiomics of synaptic junctions reveals altered lipid metabolism and signaling following environmental enrichment. Cell Reports 37:109797.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [15]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958747
    Kofeler, H. C., Ahrends, R., Baker, E. S., Ekroos, K., Han, X., Hoffmann, N., Holcapek, M., Wenk, M. R., and Liebisch, G. (2021). Recommendations for Good Practice in Mass Spectrometry-Based Lipidomics. Journal of Lipid Research 62:100138.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956707
    Peng, B., Kopczynski, D., Pratt, B. S., Ejsing, C. S., Burla, B., Hermansson, M., Benke, P. I., Tan, S. H., Chan, M. Y., Torta, F., et al. (2020). LipidCreator workbench to probe the lipidomic landscape. Nature Communications 11:2057.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [13]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956705
    Kopczynski, D., Hoffmann, N., Peng, B., and Ahrends, R. (2020). Goslin: A Grammar of Succinct Lipid Nomenclature. Analytical Chemistry 92, 10957-10960.
    PUB | DOI | WoS | PubMed | Europe PMC | Preprint
     
  • [12]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956709
    Wibberg, D., Batut, B., Belmann, P., Blom, J., Glöckner, F. O., Grüning, B., Hoffmann, N., Kleinbölting, N., Rahn, R., Rey, M., et al. (2019). The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR. F1000Research 8:1877.
    PUB | DOI
     
  • [11]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956712
    Hoffmann, N., Rein, J., Sachsenberg, T., Hartler, J., Haug, K., Mayer, G., Alka, O., Dayalan, S., Pearce, J. T. M., Rocca-Serra, P., et al. (2019). mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics. Analytical Chemistry 91, 3302-3310.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [10]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956711
    Hoffmann, N., Hartler, J., and Ahrends, R. (2019). jmzTab-M: A Reference Parser, Writer, and Validator for the Proteomics Standards Initiative mzTab 2.0 Metabolomics Standard. Analytical Chemistry 91, 12615-12618.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [9]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956710
    Stanstrup, J., Broeckling, C., Helmus, R., Hoffmann, N., Mathé, E., Naake, T., Nicolotti, L., Peters, K., Rainer, J., Salek, R., et al. (2019). The metaRbolomics Toolbox in Bioconductor and beyond. Metabolites 9:200.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [8]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956713
    Peng, B., Geue, S., Coman, C., Münzer, P., Kopczynski, D., Has, C., Hoffmann, N., Manke, M. - C., Lang, F., Sickmann, A., et al. (2018). Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome. Blood 132, e1-e12.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [7]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956714
    Schwudke, D., Shevchenko, A., Hoffmann, N., and Ahrends, R. (2017). Lipidomics informatics for life-science. Journal of Biotechnology 261, 131-136.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715682
    Henning, P., Kuich, J. L., Hoffmann, N., and Stefan, K. (2015). Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology 2, 84.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [5]
    2014 | Bielefelder E-Dissertation | PUB-ID: 2677466 OA
    Hoffmann, N. (2014). Computational methods for high-throughput metabolomics. Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [4]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2643941
    Hoffmann, N., Wilhelm, M., Doebbe, A., Niehaus, K., and Stoye, J. (2014). BiPACE 2D – Graph-based multiple alignment for comprehensive two-dimensional gas chromatography–mass spectrometry. Bioinformatics 30, 988-995.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [3]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2517239 OA
    Hoffmann, N., Keck, M., Neuweger, H., Wilhelm, M., Högy, P., Niehaus, K., and Stoye, J. (2012). Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets. BMC Bioinformatics 13:21.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [2]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2468382 OA
    Hoffmann, N., and Stoye, J. (2012). “Generic Software Frameworks for GC-MS Based Metabolomics” in Metabolomics, Roessner, U. ed. (InTech), 73-98.
    PUB | PDF | DOI | Download (ext.)
     
  • [1]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1591319
    Hoffmann, N., and Stoye, J. (2009). ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics 25, 2080-2081.
    PUB | DOI | WoS | PubMed | Europe PMC
     

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