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    • Scientific topic
    • Quantitative proteomics
    • Bottom-up proteomics31
    • Discovery proteomics31
    • Exomes31
    • Genome annotation31
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    • MS-based targeted proteomics31
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    • Proteomics31
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    • Subina Mehta13
    • Björn Grüning8
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Scientific topics: Quantitative proteomics

and Contributors: Björn Grüning

and Resource type: e-learning

31 e-learning materials found
  • e-learning

    Multiomics data analysis using MultiGSEA

    • beginner
    Proteomics metabolomics multi-omics proteomics transcriptomics
  • 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

    Clinical Metaproteomics 5: Data Interpretation

    • beginner
    Proteomics label-TMT11
  • e-learning

    Clinical Metaproteomics 4: Quantitation

    • beginner
    Proteomics label-TMT11
  • e-learning

    Clinical Metaproteomics 3: Verification

    • beginner
    Proteomics label-TMT11
  • 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
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.