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
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • Personal genomics2
    • Synthetic genomics2
    • Viral genomics2
    • Whole genomes2
    • Epigenomics1
    • Show N_FILTERS more
    • Tool
    • Galaxy3
    • SAMtools2
    • DeepTools1
    • STAR1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training6
    • Show N_FILTERS more
    • Keyword
    • work-in-progress
    • microgalaxy27
    • Galaxy Server administration19
    • Contributing to the Galaxy Training Material17
    • Microbiome15
    • Development in Galaxy13
    • biodiversity13
    • Assembly12
    • Introduction to Galaxy Analyses12
    • Proteomics12
    • Transcriptomics11
    • Epigenetics10
    • ansible10
    • Genome Annotation9
    • Using Galaxy and Managing your Data9
    • git-gat9
    • Variant Analysis8
    • gmod8
    • prokaryote8
    • elixir7
    • jbrowse17
    • Sequence analysis6
    • Statistics and machine learning6
    • Teaching and Hosting Galaxy training6
    • assembly6
    • nanopore6
    • train-the-trainers6
    • Foundations of Data Science5
    • Single Cell5
    • label-TMT115
    • metagenomics5
    • plants5
    • 16S4
    • DDA4
    • Ecology4
    • illumina4
    • interactive-tools4
    • metabarcoding4
    • ChIP-seq3
    • EBV dataset3
    • Galaxy Community Building3
    • Genetic composition EBV class3
    • QC3
    • RAD-seq3
    • amr3
    • bacteria3
    • eukaryote3
    • metatranscriptomics3
    • monitoring3
    • Climate2
    • EBV workflow2
    • Metabolomics2
    • collections2
    • covid192
    • cyoa2
    • deploying2
    • jobs2
    • mouse2
    • one-health2
    • storage2
    • workflows2
    • 10x1
    • Community1
    • EBV workflowz1
    • Evolution1
    • FAIR Learning Objects1
    • FAIR-by-Design Learning Materials1
    • FAIR-by-Design Methodology1
    • HeLa1
    • Heatmap1
    • MIGHTS1
    • Machine learning1
    • Nanopore data analysis1
    • Pan-cancer1
    • Pathogens detection1
    • Phylogenetic tree1
    • R1
    • SIG1
    • SQL1
    • Species population EBV class1
    • Species populations EBV class1
    • Visualisation1
    • ai-ml1
    • animals1
    • annotation1
    • apollo21
    • authentication1
    • beer1
    • binning1
    • broken1
    • bulk1
    • cancer biomarkers1
    • citizen science1
    • cloud1
    • cookbook1
    • data handling1
    • diversity1
    • drosophila1
    • español1
    • essential genes1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Intermediate5
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International6
    • Show N_FILTERS more
    • Target audience
    • Students5
    • Instructors1
    • Show N_FILTERS more
    • Author
    • Anika Erxleben3
    • Bérénice Batut2
    • Mehmet Tekman2
    • Achim Winandi1
    • Alex Ostrovsky1
    • Anastas Mishev1
    • Anthony Bretaudeau1
    • Björn Grüning1
    • Carolin Leister1
    • Christine Hadrossek1
    • Dominique Green1
    • Fidel Ramirez1
    • Friederike Dündar1
    • Irakleitos Souyioultzoglou1
    • Sonja Filiposka1
    • Vivek Bhardwaj1
    • Vojdan Kjorveziroski1
    • Wolfgang Maier1
    • Аrnaud Gingold1
    • Show N_FILTERS more
    • Contributor
    • Bérénice Batut
    • Saskia Hiltemann8
    • Anthony Bretaudeau7
    • Björn Grüning7
    • Helena Rasche7
    • Nicola Soranzo4
    • Gildas Le Corguillé3
    • Mehmet Tekman3
    • Simon Bray3
    • Stéphanie Robin3
    • Armin Dadras2
    • Martin Čech2
    • Niall Beard2
    • Pavankumar Videm2
    • Anastas Mishev1
    • Ekaterina Polkh1
    • Fidel Ramirez1
    • Graham Etherington1
    • Maria Doyle1
    • Peter-Bram 't Hoen1
    • Wendi Bacon1
    • William Durand1
    • Show N_FILTERS more
    • Resource type
    • e-learning6
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets6
    • Associated Workflows3
    • Quarto/RMarkdown Notebook1
    • apollo21
    • gmod1
    • work-in-progress1
    • 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

Difficulty level: Beginner

and Contributors: Bérénice Batut

and Keywords: work-in-progress

6 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

    Identification of the binding sites of the Estrogen receptor

    • beginner
    Epigenomics ChIP-seq Epigenetics work-in-progress
  • e-learning

    Genome Annotation

    • beginner
    Genomics Genome Annotation prokaryote work-in-progress
  • e-learning

    Creating an Official Gene Set

    • beginner
    Genomics Genome Annotation apollo2 gmod work-in-progress
  • e-learning

    Pre-processing of Single-Cell RNA Data

    • beginner
    Single Cell work-in-progress
  • e-learning

    Downstream Single-cell RNA analysis with RaceID

    • beginner
    Single Cell work-in-progress
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.