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    • Scientific topic
    • Bottom-up proteomics23
    • Discovery proteomics23
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Tools: Galaxy

and Contributors: Melanie Föll

30 materials found
  • e-learning

    Predicting EI+ mass spectra with QCxMS

    • beginner
    Metabolomics
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • e-learning

    Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

    ••• advanced
    Proteomics DDA SILAC
  • e-learning

    MaxQuant and MSstats for the analysis of TMT data

    • beginner
    Proteomics DDA TMT
  • e-learning

    Proteogenomics 3: Novel peptide analysis

    •• intermediate
    Proteomics proteogenomics
  • e-learning

    MaxQuant and MSstats for the analysis of label-free data

    •• intermediate
    Proteomics label-free
  • e-learning

    Annotating a protein list identified by LC-MS/MS experiments

    • beginner
    Proteomics DDA human
  • e-learning

    metaQuantome 2: Function

    •• intermediate
    Proteomics Proteogenomics Metatranscriptomics Microbial ecology Metagenomics microgalaxy
  • e-learning

    Biomarker candidate identification

    • beginner
    Proteomics DDA human
  • e-learning

    Protein FASTA Database Handling

    • beginner
    Proteomics DDA
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.