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

    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Contributing to the Galaxy Training Material
    • microgalaxy37
    • Proteomics36
    • Single Cell31
    • biodiversity27
    • Genome Annotation23
    • Transcriptomics23
    • Galaxy Server administration18
    • Statistics and machine learning17
    • Assembly15
    • Microbiome15
    • jbrowse115
    • Ecology14
    • fair14
    • gmod14
    • Using Galaxy and Managing your Data13
    • FAIR Data, Workflows, and Research12
    • Variant Analysis12
    • prokaryote12
    • paper-replication11
    • work-in-progress11
    • Imaging10
    • MIGHTS10
    • ansible10
    • data stewardship10
    • eukaryote10
    • interactive-tools10
    • Foundations of Data Science9
    • Metabolomics9
    • Sequence analysis9
    • cyoa9
    • git-gat9
    • jupyter-notebook9
    • label-free9
    • plants9
    • Epigenetics8
    • Introduction to Galaxy Analyses8
    • Computational chemistry7
    • DDA7
    • dmp7
    • 10x6
    • Climate6
    • EBV dataset6
    • assembly6
    • collections6
    • nanopore6
    • transcriptomics6
    • EBV workflow5
    • data management5
    • illumina5
    • label-TMT115
    • metagenomics5
    • one-health5
    • 16S4
    • DIA4
    • Evolution4
    • Genetic composition EBV class4
    • HeLa4
    • bacteria4
    • bioimaging4
    • covid194
    • metabarcoding4
    • mouse4
    • ChIP-seq3
    • FAIR3
    • QC3
    • RAD-seq3
    • Visualisation3
    • amr3
    • apollo23
    • epigenetics3
    • metatranscriptomics3
    • open3
    • pangeo3
    • proteogenomics3
    • rmarkdown-notebook3
    • Community composition EBV class2
    • Data Paper2
    • EML2
    • Metadata2
    • Species population EBV class2
    • Species populations EBV class2
    • Synthetic Biology2
    • VGP2
    • bulk2
    • data import2
    • deep-learning2
    • ecology2
    • essential genes2
    • eukaryota2
    • evolution2
    • human2
    • jobs2
    • jupyter-lab2
    • machine-learning2
    • maker2
    • monitoring2
    • networking2
    • pacbio2
    • phylogenetics2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Instructors2
    • Show N_FILTERS more
    • Author
    • Achim Winandi1
    • Anastas Mishev1
    • Carolin Leister1
    • Christine Hadrossek1
    • Dominique Green1
    • Irakleitos Souyioultzoglou1
    • Katarzyna Kamieniecka1
    • Krzysztof Poterlowicz1
    • Sonja Filiposka1
    • Vojdan Kjorveziroski1
    • Аrnaud Gingold1
    • Show N_FILTERS more
    • Contributor
    • Helena Rasche2
    • Anastas Mishev1
    • Björn Grüning1
    • Bérénice Batut1
    • Saskia Hiltemann1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Quarto/RMarkdown Notebook16
    • Associated Workflows1
    • fair1
    • gtn1
    • training1
    • 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: Contributing to the Galaxy Training Material

and Resource type: e-learning

and Related resources: Associated Training Datasets

2 e-learning materials found
  • e-learning

    FAIR-by-Design methodology

    • beginner
    Contributing to the Galaxy Training Material FAIR Learning Objects FAIR-by-Design Learning Materials FAIR-by-Design Methodology work-in-progress
  • e-learning

    FAIR Galaxy Training Material

    • beginner
    Contributing to the Galaxy Training Material fair gtn training
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.