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
    • Bayesian methods11
    • Biostatistics11
    • Descriptive statistics11
    • Gaussian processes11
    • Inferential statistics11
    • Markov processes11
    • Multivariate statistics11
    • Probabilistic graphical model11
    • Probability11
    • Statistics11
    • Statistics and probability11
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training17
    • Show N_FILTERS more
    • Keyword
    • elixir
    • microgalaxy32
    • biodiversity23
    • Galaxy Server administration19
    • Proteomics19
    • Assembly17
    • Contributing to the Galaxy Training Material17
    • Genome Annotation17
    • Statistics and machine learning16
    • Microbiome15
    • jbrowse115
    • gmod14
    • Development in Galaxy13
    • Using Galaxy and Managing your Data13
    • Introduction to Galaxy Analyses12
    • Transcriptomics11
    • ai-ml11
    • work-in-progress11
    • Epigenetics10
    • Variant Analysis10
    • ansible10
    • jupyter-notebook10
    • prokaryote10
    • eukaryote9
    • git-gat9
    • assembly8
    • Sequence analysis7
    • Teaching and Hosting Galaxy training7
    • DDA6
    • nanopore6
    • train-the-trainers6
    • Foundations of Data Science5
    • Large Language Model5
    • Single Cell5
    • collections5
    • covid195
    • label-TMT115
    • metagenomics5
    • plants5
    • 16S4
    • Computational chemistry4
    • Ecology4
    • illumina4
    • interactive-tools4
    • metabarcoding4
    • one-health4
    • ChIP-seq3
    • EBV dataset3
    • Galaxy Community Building3
    • Genetic composition EBV class3
    • Metabolomics3
    • QC3
    • RAD-seq3
    • amr3
    • apollo23
    • bacteria3
    • cyoa3
    • metatranscriptomics3
    • monitoring3
    • pacbio3
    • workflows3
    • Climate2
    • EBV workflow2
    • HeLa2
    • VGP2
    • Visualisation2
    • deploying2
    • eukaryota2
    • human2
    • jobs2
    • maker2
    • mouse2
    • storage2
    • 10x1
    • Braker31
    • Community1
    • EBV workflowz1
    • Evolution1
    • FAIR1
    • FAIR Learning Objects1
    • FAIR-by-Design Learning Materials1
    • FAIR-by-Design Methodology1
    • Heatmap1
    • MIGHTS1
    • Machine learning1
    • Nanopore data analysis1
    • Pan-cancer1
    • Pathogens detection1
    • Phylogenetic tree1
    • R1
    • SIG1
    • SILAC1
    • SQL1
    • Species population EBV class1
    • Species populations EBV class1
    • animals1
    • annotation1
    • authentication1
    • beer1
    • binning1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate10
    • Beginner7
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International17
    • Show N_FILTERS more
    • Target audience
    • Students11
    • Instructors6
    • Show N_FILTERS more
    • Author
    • Bérénice Batut11
    • Fotis E. Psomopoulos7
    • Allegra Via6
    • ELIXIR Goblet Train the Trainers6
    • Patricia Palagi6
    • Raphael Mourad6
    • Ralf Gabriels2
    • Wandrille Duchemin2
    • Cristóbal Gallardo1
    • Stella Fragkouli1
    • Show N_FILTERS more
    • Contributor
    • Bérénice Batut
    • Saskia Hiltemann12
    • Björn Grüning10
    • Anup Kumar7
    • Cristóbal Gallardo6
    • Helena Rasche5
    • Wandrille Duchemin5
    • olisand5
    • Stella Fragkouli1
    • Wendi Bacon1
    • Show N_FILTERS more
    • Resource type
    • e-learning16
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Jupyter Notebook (with Solutions)11
    • Jupyter Notebook (without Solutions)11
    • Quarto/RMarkdown Notebook6
    • 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: Bérénice Batut

and Keywords: elixir

17 materials found
  • e-learning

    Neural networks using Python

    •• intermediate
    Statistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress
  • e-learning

    Training techniques to enhance learner participation and engagement

    • beginner
    Teaching and Hosting Galaxy training elixir train-the-trainers
  • e-learning

    Principles of learning and how they apply to training and teaching

    • beginner
    Contributing to the Galaxy Training Material elixir train-the-trainers
  • e-learning

    Design and plan session, course, materials

    • beginner
    Contributing to the Galaxy Training Material elixir train-the-trainers
  • e-learning

    Assessment and feedback in training and teachings

    • beginner
    Teaching and Hosting Galaxy training elixir train-the-trainers
  • e-learning

    Train-the-Trainer: putting it all together

    • beginner
    Teaching and Hosting Galaxy training elixir train-the-trainers
  • e-learning

    Motivation and Demotivation

    • beginner
    Teaching and Hosting Galaxy training elixir train-the-trainers
  • 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.