PUB - Publikationen an der Universität Bielefeld

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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., et al. (2022). Guiding the choice of informatics software and tools for lipidomics research applications. Nature Methods . https://doi.org/10.1038/s41592-022-01710-0

  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., et al. (2022). Update on guidelines for lipidomics analysis and reporting. Journal of the American Oil Chemists' Society, 99(Suppl. 1), 13-14. https://doi.org/10.1002/aocs.12654

  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., et al. (2022). Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism . https://doi.org/10.1038/s42255-022-00628-3

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• [17]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962357

  Kopczynski, D., Hoffmann, N., Peng, B., Liebisch, G., Spener, F., & Ahrends, R. (2022). Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures. Analytical Chemistry, acs.analchem.1c05430. https://doi.org/10.1021/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., et al. (2021). Multiomics of synaptic junctions reveals altered lipid metabolism and signaling following environmental enrichment. Cell Reports, 37(1), 109797. https://doi.org/10.1016/j.celrep.2021.109797

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• [15]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958747

  Kofeler, H. C., Ahrends, R., Baker, E. S., Ekroos, K., Han, X., Hoffmann, N., Holcapek, M., et al. (2021). Recommendations for Good Practice in Mass Spectrometry-Based Lipidomics. Journal of Lipid Research, 62, 100138. https://doi.org/10.1016/j.jlr.2021.100138

  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., et al. (2020). LipidCreator workbench to probe the lipidomic landscape. Nature Communications, 11(1), 2057. https://doi.org/10.1038/s41467-020-15960-z

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• [13]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956705

  Kopczynski, D., Hoffmann, N., Peng, B., & Ahrends, R. (2020). Goslin: A Grammar of Succinct Lipid Nomenclature. Analytical Chemistry, 92(16), 10957-10960. https://doi.org/10.1021/acs.analchem.0c01690

  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., et al. (2019). The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR. F1000Research, 8, 1877. https://doi.org/10.12688/f1000research.20244.1

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• [11]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956712

  Hoffmann, N., Rein, J., Sachsenberg, T., Hartler, J., Haug, K., Mayer, G., Alka, O., et al. (2019). mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics. Analytical Chemistry, 91(5), 3302-3310. https://doi.org/10.1021/acs.analchem.8b04310

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [10]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956711

  Hoffmann, N., Hartler, J., & Ahrends, R. (2019). jmzTab-M: A Reference Parser, Writer, and Validator for the Proteomics Standards Initiative mzTab 2.0 Metabolomics Standard. Analytical Chemistry, 91(20), 12615-12618. https://doi.org/10.1021/acs.analchem.9b01987

  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., et al. (2019). The metaRbolomics Toolbox in Bioconductor and beyond. Metabolites, 9(10), 200. https://doi.org/10.3390/metabo9100200

  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., et al. (2018). Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome. Blood, 132(5), e1-e12. https://doi.org/10.1182/blood-2017-12-822890

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [7]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956714

  Schwudke, D., Shevchenko, A., Hoffmann, N., & Ahrends, R. (2017). Lipidomics informatics for life-science. Journal of Biotechnology, 261, 131-136. https://doi.org/10.1016/j.jbiotec.2017.08.010

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715682

  Henning, P., Kuich, J. L., Hoffmann, N., & 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), 84. doi:10.3389/fbioe.2014.00084

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [5]
  

  2014 | Bielefelder E-Dissertation | PUB-ID: 2677466

  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., & Stoye, J. (2014). BiPACE 2D – Graph-based multiple alignment for comprehensive two-dimensional gas chromatography–mass spectrometry. Bioinformatics, 30(7), 988-995. https://doi.org/10.1093/bioinformatics/btt738

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [3]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2517239

  Hoffmann, N., Keck, M., Neuweger, H., Wilhelm, M., Högy, P., Niehaus, K., & Stoye, J. (2012). Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets. BMC Bioinformatics, 13(1), 21. doi:10.1186/1471-2105-13-21

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• [2]
  

  2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2468382

  Hoffmann, N., & Stoye, J. (2012). Generic Software Frameworks for GC-MS Based Metabolomics. In U. Roessner (Ed.), Metabolomics (pp. 73-98). InTech. doi:10.5772/31224

  PUB | PDF | DOI | Download (ext.)
   
• [1]
  

  2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1591319

  Hoffmann, N., & Stoye, J. (2009). ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics, 25(16), 2080-2081. https://doi.org/10.1093/bioinformatics/btp343

  PUB | DOI | WoS | PubMed | Europe PMC