20 Publikationen

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  • [20]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968524
    Z. Ni, et al., “Guiding the choice of informatics software and tools for lipidomics research applications”, Nature Methods , 2022.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [19]
    2022 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2966976
    K. Ekroos, et al., “Update on guidelines for lipidomics analysis and reporting”, Journal of the American Oil Chemists' Society, vol. 99, 2022, pp. 13-14.
    PUB | DOI | WoS
     
  • [18]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2965107
    J.G. McDonald, et al., “Introducing the Lipidomics Minimal Reporting Checklist”, Nature Metabolism , 2022.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [17]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962357
    D. Kopczynski, et al., “Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures”, Analytical Chemistry, 2022, : acs.analchem.1c05430.
    PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [16]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959919
    M. Borgmeyer, et al., “Multiomics of synaptic junctions reveals altered lipid metabolism and signaling following environmental enrichment”, Cell Reports, vol. 37, 2021, : 109797.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [15]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958747
    H.C. Kofeler, et al., “Recommendations for Good Practice in Mass Spectrometry-Based Lipidomics”, Journal of Lipid Research, vol. 62, 2021, : 100138.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956707
    B. Peng, et al., “LipidCreator workbench to probe the lipidomic landscape”, Nature Communications, vol. 11, 2020, : 2057.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [13]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956705
    D. Kopczynski, et al., “Goslin: A Grammar of Succinct Lipid Nomenclature”, Analytical Chemistry, vol. 92, 2020, pp. 10957-10960.
    PUB | DOI | WoS | PubMed | Europe PMC | Preprint
     
  • [12]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956709
    D. Wibberg, et al., “The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR”, F1000Research, vol. 8, 2019, : 1877.
    PUB | DOI
     
  • [11]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956712
    N. Hoffmann, et al., “mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics”, Analytical Chemistry, vol. 91, 2019, pp. 3302-3310.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [10]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956711
    N. Hoffmann, J. Hartler, and R. Ahrends, “jmzTab-M: A Reference Parser, Writer, and Validator for the Proteomics Standards Initiative mzTab 2.0 Metabolomics Standard”, Analytical Chemistry, vol. 91, 2019, pp. 12615-12618.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [9]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956710
    J. Stanstrup, et al., “The metaRbolomics Toolbox in Bioconductor and beyond”, Metabolites, vol. 9, 2019, : 200.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [8]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956713
    B. Peng, et al., “Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome”, Blood, vol. 132, 2018, pp. e1-e12.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [7]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956714
    D. Schwudke, et al., “Lipidomics informatics for life-science”, Journal of Biotechnology, vol. 261, 2017, pp. 131-136.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2715682
    P. Henning, et al., “Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data”, Frontiers in Bioengineering and Biotechnology, vol. 2, 2015, pp. 84.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [5]
    2014 | Bielefelder E-Dissertation | PUB-ID: 2677466 OA
    N. Hoffmann, Computational methods for high-throughput metabolomics, Bielefeld: Universität Bielefeld, 2014.
    PUB | PDF
     
  • [4]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2643941
    N. Hoffmann, et al., “BiPACE 2D – Graph-based multiple alignment for comprehensive two-dimensional gas chromatography–mass spectrometry”, Bioinformatics, vol. 30, 2014, pp. 988-995.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [3]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2517239 OA
    N. Hoffmann, et al., “Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets”, BMC Bioinformatics, vol. 13, 2012, : 21.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [2]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2468382 OA
    N. Hoffmann and J. Stoye, “Generic Software Frameworks for GC-MS Based Metabolomics”, Metabolomics, U. Roessner, ed., InTech, 2012, pp.73-98.
    PUB | PDF | DOI | Download (ext.)
     
  • [1]
    2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1591319
    N. Hoffmann and J. Stoye, “ChromA: signal-based retention time alignment for chromatography-mass spectrometry data”, Bioinformatics, vol. 25, 2009, pp. 2080-2081.
    PUB | DOI | WoS | PubMed | Europe PMC
     

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