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
    • Exometabolomics9
    • LC-MS-based metabolomics9
    • MS-based metabolomics9
    • MS-based targeted metabolomics9
    • MS-based untargeted metabolomics9
    • Mass spectrometry-based metabolomics9
    • Metabolites9
    • Metabolome9
    • Metabolomics9
    • Metabonomics9
    • NMR-based metabolomics9
    • Show N_FILTERS more
    • Tool
    • Galaxy9
    • Workflow4Metabolomics5
    • xcms4
    • Cardinal2
    • MALDIquant1
    • MFAssignR1
    • Matchms1
    • Open Babel1
    • msConvert1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training9
    • Show N_FILTERS more
    • Keyword
    • Metabolomics
    • jupyter-notebook41
    • Foundations of Data Science39
    • biodiversity38
    • Galaxy Server administration36
    • microgalaxy33
    • Single Cell32
    • Proteomics31
    • Ecology24
    • Transcriptomics23
    • Statistics and machine learning22
    • Contributing to the Galaxy Training Material20
    • Using Galaxy and Managing your Data20
    • ansible19
    • interactive-tools19
    • Genome Annotation18
    • git-gat18
    • Assembly16
    • Variant Analysis16
    • Teaching and Hosting Galaxy training15
    • Microbiome14
    • Development in Galaxy13
    • Climate12
    • FAIR Data, Workflows, and Research12
    • jbrowse112
    • prokaryote12
    • work-in-progress12
    • MIGHTS11
    • earth-system11
    • elixir11
    • gmod11
    • paper-replication11
    • Introduction to Galaxy Analyses10
    • cyoa10
    • DDA9
    • Imaging9
    • eukaryote9
    • one-health9
    • plants9
    • Computational chemistry8
    • Epigenetics8
    • Sequence analysis8
    • assembly8
    • covid198
    • data management8
    • fair8
    • EBV dataset7
    • EBV workflow7
    • collections7
    • ocean7
    • 10x6
    • nanopore6
    • train-the-trainers6
    • transcriptomics6
    • workflows6
    • Galaxy Community Building5
    • R5
    • SQL5
    • ai-ml5
    • data stewardship5
    • deploying5
    • jobs5
    • label-TMT115
    • metagenomics5
    • rmarkdown-notebook5
    • ro-crate5
    • 16S4
    • Genetic composition EBV class4
    • HeLa4
    • QC4
    • illumina4
    • metabarcoding4
    • mouse4
    • pangeo4
    • virology4
    • ChIP-seq3
    • DIA3
    • RAD-seq3
    • Synthetic Biology3
    • Visualisation3
    • amr3
    • apollo23
    • bacteria3
    • bash3
    • bioimaging3
    • bulk3
    • data import3
    • ecology3
    • gbif3
    • human3
    • metatranscriptomics3
    • modeling3
    • monitoring3
    • open3
    • pacbio3
    • proteogenomics3
    • rna-seq3
    • taxonomic data3
    • Community composition EBV class2
    • Evolution2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner5
    • Intermediate4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International9
    • Show N_FILTERS more
    • Target audience
    • Students9
    • Show N_FILTERS more
    • Author
    • Helge Hecht3
    • Mélanie Petera3
    • Workflow4Metabolomics core team3
    • Gildas Le Corguillé2
    • Jean-François Martin2
    • Melanie Föll2
    • Julia Jakiela1
    • Julien Saint-Vanne1
    • Kristina Gomoryova1
    • Maren Stillger1
    • Matej Troják1
    • Maxim Skoryk1
    • Simeon Schum1
    • Yann Guitton1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann
    • Björn Grüning5
    • Helena Rasche5
    • Melanie Föll5
    • Mélanie Petera3
    • Bérénice Batut2
    • Gildas Le Corguillé2
    • Simon Bray2
    • Cristóbal Gallardo1
    • Helge Hecht1
    • Julia Jakiela1
    • Kristina Gomoryova1
    • Matej Troják1
    • Yann Guitton1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • slides2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets9
    • Associated Workflows6
    • 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

e-Learning

  • Subscribe via email

Email Subscription

Register training material

Keywords: Metabolomics

and Contributors: Saskia Hiltemann

and Resource type: e-learning

9 e-learning materials found
  • e-learning

    Molecular formula assignment and mass recalibration with MFAssignR package

    •• intermediate
    Metabolomics
  • e-learning

    Predicting EI+ mass spectra with QCxMS

    • beginner
    Metabolomics
  • e-learning

    Mass spectrometry: LC-MS analysis

    • beginner
    Metabolomics
  • e-learning

    Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)

    •• intermediate
    Metabolomics
  • e-learning

    Mass spectrometry: LC-MS preprocessing with XCMS

    •• intermediate
    Metabolomics
  • e-learning

    Mass spectrometry imaging: Examining the spatial distribution of analytes

    • beginner
    Metabolomics
  • e-learning

    Mass spectrometry imaging: Finding differential analytes

    •• intermediate
    Metabolomics
  • e-learning

    Mass spectrometry: LC-MS data processing

    • beginner
    Metabolomics
  • e-learning

    Mass spectrometry : GC-MS analysis with metaMS package

    • beginner
    Metabolomics
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.