Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • MS-based targeted proteomics
    • Bottom-up proteomics20
    • Discovery proteomics20
    • MS-based untargeted proteomics20
    • Metaproteomics20
    • Peptide identification20
    • Protein and peptide identification20
    • Proteomics20
    • Quantitative proteomics20
    • Targeted proteomics20
    • Top-down proteomics20
    • Exometabolomics6
    • LC-MS-based metabolomics6
    • MS-based metabolomics6
    • MS-based targeted metabolomics6
    • MS-based untargeted metabolomics6
    • Mass spectrometry-based metabolomics6
    • Metabolites6
    • Metabolome6
    • Metabolomics6
    • Metabonomics6
    • NMR-based metabolomics6
    • Proteogenomics4
    • Taxonomy3
    • Biodiversity2
    • Community analysis2
    • Environmental microbiology2
    • Metagenomics2
    • Metatranscriptomics2
    • Microbial ecology2
    • Microbiome2
    • Molecular community analysis2
    • Shotgun metagenomics2
    • Show N_FILTERS more
    • Tool
    • Galaxy19
    • MSstats3
    • MaxQuant3
    • msConvert3
    • Unipept2
    • metaQuantome2
    • BLAST1
    • Biopython1
    • Cardinal1
    • FlashLFQ1
    • FreeBayes1
    • HISAT21
    • StringTie1
    • UniProt1
    • WoLF PSORT1
    • bed to protein map1
    • customProDB1
    • diaPASEF1
    • gffcompare1
    • mzToSQLite1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training20
    • Show N_FILTERS more
    • Keyword
    • Proteomics20
    • DDA7
    • microgalaxy4
    • DIA3
    • proteogenomics3
    • HeLa2
    • human2
    • ML1
    • SILAC1
    • TMT1
    • cancer1
    • imaging1
    • label-free1
    • mouse1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate11
    • Beginner7
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International20
    • Show N_FILTERS more
    • Target audience
    • Students20
    • Show N_FILTERS more
    • Author
    • Pratik Jagtap7
    • Subina Mehta7
    • Timothy J. Griffin7
    • Björn Grüning6
    • Matthias Fahrner6
    • Melanie Föll6
    • Florian Christoph Sigloch5
    • Praveen Kumar5
    • James Johnson4
    • Emma Leith3
    • Marie Crane3
    • Ray Sajulga3
    • Clemens Blank1
    • Daniel Blankenberg1
    • David Christiany1
    • Delphine Lariviere1
    • Florence Combes1
    • Jayadev Joshi1
    • Klemens Fröhlich1
    • Valentin Loux1
    • Yves Vandenbrouck1
    • Show N_FILTERS more
    • Contributor
    • Melanie Föll
    • Björn Grüning27
    • Saskia Hiltemann26
    • Subina Mehta24
    • Helena Rasche19
    • Bérénice Batut16
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Nicola Soranzo10
    • Armin Dadras6
    • Martin Čech6
    • Niall Beard6
    • Florian Christoph Sigloch5
    • Clemens Blank3
    • Mallory Freeberg3
    • William Durand3
    • Pavankumar Videm2
    • Anthony Bretaudeau1
    • Florence Combes1
    • Helge Hecht1
    • James Johnson1
    • Jayadev Joshi1
    • Kristina Gomoryova1
    • Lucille Delisle1
    • Matthias Fahrner1
    • Mélanie Petera1
    • Wolfgang Maier1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning20
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Associated Workflows24
    • Quarto/RMarkdown Notebook2
    • DDA1
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Contributors: Melanie Föll

and Scientific topics: MS-based targeted proteomics

and Related resources: Associated Training Datasets

20 materials found
  • 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

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

    • beginner
    Proteomics DDA human
  • e-learning

    Label-free versus Labelled - How to Choose Your Quantitation Method

    • beginner
    Proteomics DDA
  • e-learning

    metaQuantome 2: Function

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

    Peptide and Protein ID using OpenMS tools

    ••• advanced
    Proteomics DDA HeLa
  • e-learning

    metaQuantome 1: Data creation

    •• intermediate
    Proteomics Proteogenomics Biodiversity Taxonomy microgalaxy
  • e-learning

    metaQuantome 3: Taxonomy

    •• intermediate
    Proteomics Proteogenomics Metatranscriptomics Microbial ecology Metagenomics Taxonomy microgalaxy
  • 1
  • 2
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

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