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 proteomics9
    • Discovery proteomics9
    • MS-based targeted proteomics9
    • MS-based untargeted proteomics9
    • Metaproteomics9
    • Peptide identification9
    • Protein and peptide identification9
    • Proteomics9
    • Quantitative proteomics9
    • Targeted proteomics9
    • Top-down proteomics9
    • Show N_FILTERS more
    • Tool
    • Galaxy8
    • MSstats2
    • MaxQuant2
    • msConvert1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training9
    • Show N_FILTERS more
    • Keyword
    • DDA
    • training64
    • Galaxy Server administration58
    • jupyter-notebook55
    • Foundations of Data Science51
    • Proteomics45
    • biodiversity42
    • data management41
    • Single Cell40
    • microgalaxy39
    • Statistics and machine learning35
    • Transcriptomics29
    • FAIR28
    • Contributing to the Galaxy Training Material27
    • Ecology27
    • Genome Annotation27
    • Rare Diseases & Research27
    • Using Galaxy and Managing your Data27
    • Bioinformatics25
    • Development in Galaxy24
    • Assembly22
    • Data analysis20
    • FAIR data20
    • ansible20
    • Microbiome19
    • data stewardship19
    • genes and genomes19
    • interactive-tools19
    • DNA RNA18
    • FAIR Data, Workflows, and Research18
    • Variant Analysis18
    • git-gat18
    • Teaching and Hosting Galaxy training17
    • elixir17
    • work-in-progress17
    • Python16
    • Roslin Institute16
    • Sequence analysis16
    • life-sciences16
    • reproducibility16
    • Climate15
    • Imaging15
    • Ontologies15
    • fair15
    • jbrowse115
    • transcriptomics15
    • Programming14
    • earth-system14
    • gmod14
    • Data management planning13
    • Babraham Institute13
    • Epigenetics13
    • Introduction to Galaxy Analyses13
    • Proteins13
    • R13
    • Shell13
    • data visualisation13
    • medicine and health13
    • next generation sequencing13
    • programming13
    • prokaryote13
    • EeLP12
    • Metabolomics12
    • eLearning12
    • health-informatics12
    • paper-replication12
    • Chemical biology11
    • Data management plan11
    • Europe PMC11
    • Git11
    • Introduction bioinformatics11
    • MIGHTS11
    • Metadata11
    • ai-ml11
    • biostatistics11
    • cyoa11
    • plants11
    • workflows11
    • Evolution10
    • Extras10
    • Gene Expression10
    • HPC10
    • Introduction10
    • Literature search10
    • Phylogenetics10
    • covid1910
    • eukaryote10
    • label-free10
    • mark ibberson group10
    • services and resources10
    • Computational chemistry9
    • Genomics9
    • Python biologists9
    • Standards9
    • bioinformatics9
    • computer-science9
    • machine learning9
    • metadata9
    • ocean9
    • one-health9
    • Show N_FILTERS more
    • Difficulty level
    • Beginner7
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International9
    • Show N_FILTERS more
    • Target audience
    • Students9
    • Show N_FILTERS more
    • Author
    • Björn Grüning5
    • Florian Christoph Sigloch5
    • Matthias Fahrner3
    • David Christiany2
    • Florence Combes2
    • Melanie Föll2
    • Valentin Loux2
    • Yves Vandenbrouck2
    • Klemens Fröhlich1
    • Show N_FILTERS more
    • Contributor
    • Melanie Föll9
    • Saskia Hiltemann9
    • Björn Grüning8
    • Bérénice Batut6
    • Helena Rasche6
    • Armin Dadras5
    • Martin Čech5
    • Niall Beard5
    • Nicola Soranzo5
    • Florian Christoph Sigloch4
    • Subina Mehta3
    • William Durand3
    • Clemens Blank2
    • Florence Combes2
    • Matthias Fahrner1
    • Mélanie Petera1
    • Wolfgang Maier1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning9
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows8
    • Associated Training Datasets7
    • DDA1
    • Quarto/RMarkdown Notebook1
    • 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

Keywords: DDA

9 materials found
  • 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

    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

    Biomarker candidate identification

    • beginner
    Proteomics DDA human
  • e-learning

    Protein FASTA Database Handling

    • beginner
    Proteomics DDA
  • e-learning

    Peptide and Protein ID using OpenMS tools

    ••• advanced
    Proteomics DDA HeLa
  • e-learning

    Peptide and Protein ID using SearchGUI and PeptideShaker

    • beginner
    Proteomics DDA HeLa
  • e-learning

    Label-free data analysis using MaxQuant

    • beginner
    Proteomics DDA label-free
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.