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Showing 1–5 of 5 results
Advanced filters: Author: Sven Nahnsen Clear advanced filters

  • Medulloblastoma in children is a difficult cancer to treat and the immune response to this tumour is not fully understood. Here the authors characterise and validate T cell epitopes from these cancers using an immunopeptidomics approach, comparing different molecular subtypes.

    • Julia Velz
    • Lena K. Freudenmann
    • Marian C. Neidert
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17

  • PGGB is a modular framework for efficiently building unbiased pangenome graphs, supporting diverse downstream analyses.

    • Erik Garrison
    • Andrea Guarracino
    • Pjotr Prins
    Research
    Nature Methods
    Volume: 21, P: 2008-2012

  • Swarm Learning is a decentralized machine learning approach that outperforms classifiers developed at individual sites for COVID-19 and other diseases while preserving confidentiality and privacy.

    • Stefanie Warnat-Herresthal
    • Hartmut Schultze
    • Joachim L. Schultze
    ResearchOpen Access
    Nature
    Volume: 594, P: 265-270

  • OpenMS is a flexible, user-friendly, open-source software platform for the biological analysis of mass spectrometry proteomics and metabolomics data. The modular platform allows developers to seamlessly generate custom data-analysis workflows and directly make such ready-made workflows available to biologist end-users. Also in this issue, see the Perspective by Tyanova et al.

    • Hannes L Röst
    • Timo Sachsenberg
    • Oliver Kohlbacher
    Reviews
    Nature Methods
    Volume: 13, P: 741-748