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
    • Bottom-up proteomics
    • Discovery proteomics23
    • MS-based targeted proteomics23
    • MS-based untargeted proteomics23
    • Metaproteomics23
    • Peptide identification23
    • Protein and peptide identification23
    • Proteomics23
    • Quantitative proteomics23
    • Targeted proteomics23
    • Top-down proteomics23
    • 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
    • Galaxy
    • MaxQuant4
    • MSstats3
    • msConvert3
    • UniProt2
    • Unipept2
    • metaQuantome2
    • BLAST1
    • Biopython1
    • Cardinal1
    • FlashLFQ1
    • FreeBayes1
    • HISAT21
    • MSstatsTMT1
    • StringTie1
    • WoLF PSORT1
    • bed to protein map1
    • customProDB1
    • diaPASEF1
    • gffcompare1
    • ggplot21
    • mzToSQLite1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training23
    • Show N_FILTERS more
    • Keyword
    • Proteomics23
    • DDA8
    • microgalaxy4
    • DIA3
    • human3
    • proteogenomics3
    • HeLa2
    • label-free2
    • ML1
    • SILAC1
    • TMT1
    • cancer1
    • imaging1
    • mouse1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate13
    • Beginner8
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International23
    • Show N_FILTERS more
    • Target audience
    • Students23
    • Show N_FILTERS more
    • Author
    • Matthias Fahrner7
    • Melanie Föll7
    • Pratik Jagtap7
    • Subina Mehta7
    • Timothy J. Griffin7
    • Björn Grüning6
    • Florian Christoph Sigloch5
    • Praveen Kumar5
    • James Johnson4
    • Emma Leith3
    • Marie Crane3
    • Ray Sajulga3
    • Daniel Blankenberg2
    • David Christiany2
    • Florence Combes2
    • Jayadev Joshi2
    • Valentin Loux2
    • Yves Vandenbrouck2
    • Clemens Blank1
    • Delphine Lariviere1
    • Klemens Fröhlich1
    • Show N_FILTERS more
    • Contributor
    • Melanie Föll
    • Saskia Hiltemann36
    • Björn Grüning29
    • Subina Mehta27
    • Helena Rasche21
    • Bérénice Batut16
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Nicola Soranzo10
    • Katherine Do7
    • Armin Dadras6
    • Martin Čech6
    • Niall Beard6
    • Florian Christoph Sigloch4
    • William Durand4
    • Clemens Blank3
    • Mallory Freeberg3
    • Pavankumar Videm3
    • Florence Combes2
    • Jayadev Joshi2
    • Amirhossein Naghsh Nilchi1
    • Anthony Bretaudeau1
    • Helge Hecht1
    • James Johnson1
    • Kristina Gomoryova1
    • Lucille Delisle1
    • Matthias Fahrner1
    • Mélanie Petera1
    • Wolfgang Maier1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning23
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows23
    • Associated Training Datasets19
    • 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

Scientific topics: Bottom-up proteomics

and Contributors: Melanie Föll

and Tools: Galaxy

23 materials found
  • e-learning

    Proteogenomics 3: Novel peptide analysis

    •• intermediate
    Proteomics proteogenomics
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • e-learning

    Biomarker candidate identification

    • beginner
    Proteomics DDA human
  • 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

    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

    metaQuantome 2: Function

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

    Proteogenomics 2: Database Search

    •• intermediate
    Proteomics proteogenomics
  • e-learning

    Proteogenomics 1: Database Creation

    •• intermediate
    Proteomics proteogenomics
  • 1
  • 2
  • 3
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.