20 Publikationen
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968524Ni, 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/s41592-022-01710-0PUB | DOI | WoS | PubMed | Europe PMC
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2022 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2966976Ekroos, 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.12654PUB | DOI | WoS
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2965107McDonald, 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/s42255-022-00628-3PUB | DOI | WoS | PubMed | Europe PMC
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962357Kopczynski, 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.1c05430PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959919Borgmeyer, 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.2021.109797PUB | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958747Kofeler, 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.2021.100138PUB | DOI | WoS | PubMed | Europe PMC
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956707Peng, 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-zPUB | DOI | WoS | PubMed | Europe PMC
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956705Kopczynski, 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.0c01690PUB | DOI | WoS | PubMed | Europe PMC | Preprint
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956709Wibberg, 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.20244.1PUB | DOI
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956712Hoffmann, 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.8b04310PUB | DOI | WoS | PubMed | Europe PMC
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956711Hoffmann, 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.9b01987PUB | DOI | WoS | PubMed | Europe PMC
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956710Stanstrup, 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/metabo9100200PUB | DOI | WoS | PubMed | Europe PMC
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956713Peng, 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-2017-12-822890PUB | DOI | WoS | PubMed | Europe PMC
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956714Schwudke, 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.2017.08.010PUB | DOI | WoS | PubMed | Europe PMC
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715682Henning, 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.2014.00084PUB | DOI | WoS | PubMed | Europe PMC
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2643941Hoffmann, 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/btt738PUB | DOI | WoS | PubMed | Europe PMC
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2517239Hoffmann, 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:10.1186/1471-2105-13-21PUB | PDF | DOI | WoS | PubMed | Europe PMC
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2468382Hoffmann, N., & Stoye, J. (2012). Generic Software Frameworks for GC-MS Based Metabolomics. In U. Roessner (Ed.), Metabolomics (pp. 73-98). InTech. doi:10.5772/31224PUB | PDF | DOI | Download (ext.)
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1591319Hoffmann, 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/btp343PUB | DOI | WoS | PubMed | Europe PMC