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 methods2
    • Biostatistics2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Probabilistic graphical model2
    • Probability2
    • Statistics2
    • Statistics and probability2
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • jupyter-lab
    • biodiversity40
    • Proteomics39
    • microgalaxy37
    • Single Cell30
    • Ecology27
    • Genome Annotation24
    • Statistics and machine learning22
    • Transcriptomics22
    • Assembly18
    • Microbiome16
    • Variant Analysis16
    • interactive-tools16
    • Using Galaxy and Managing your Data15
    • jbrowse115
    • Climate13
    • gmod13
    • Imaging12
    • Sequence analysis12
    • prokaryote12
    • Epigenetics11
    • Metabolomics10
    • covid1910
    • earth-system10
    • eukaryote10
    • label-free10
    • Introduction to Galaxy Analyses9
    • one-health9
    • plants9
    • work-in-progress9
    • DDA8
    • assembly8
    • Computational chemistry7
    • EBV dataset7
    • EBV workflow7
    • ocean7
    • paper-replication7
    • 10x6
    • Foundations of Data Science6
    • MIGHTS6
    • cyoa6
    • data management6
    • nanopore6
    • transcriptomics6
    • workflows6
    • Visualisation5
    • illumina5
    • label-TMT115
    • metagenomics5
    • mouse5
    • virology5
    • 16S4
    • DIA4
    • Evolution4
    • Genetic composition EBV class4
    • HeLa4
    • QC4
    • bacteria4
    • bioimaging4
    • collections4
    • metabarcoding4
    • pangeo4
    • ChIP-seq3
    • FAIR3
    • RAD-seq3
    • amr3
    • bulk3
    • data import3
    • ecology3
    • epigenetics3
    • gbif3
    • human3
    • metatranscriptomics3
    • modeling3
    • pacbio3
    • proteogenomics3
    • rna-seq3
    • taxonomic data3
    • Community composition EBV class2
    • Contributing to the Galaxy Training Material2
    • Data Paper2
    • EML2
    • Galaxy Server administration2
    • Metadata2
    • R2
    • Species population EBV class2
    • Species populations EBV class2
    • VGP2
    • apollo22
    • climate2
    • deep-learning2
    • essential genes2
    • eukaryota2
    • evolution2
    • machine-learning2
    • maker2
    • marine omics2
    • ncbi2
    • netcdf data2
    • 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
    • Students2
    • Show N_FILTERS more
    • Author
    • Anup Kumar2
    • Show N_FILTERS more
    • Contributor
    • Anup Kumar2
    • Armin Dadras2
    • Björn Grüning2
    • Helena Rasche2
    • Martin Čech2
    • Saskia Hiltemann2
    • Kaivan Kamali1
    • Michelle Terese Savage1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows1
    • Show N_FILTERS more
  • Show disabled materials
  • Hide 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

Tools: Galaxy

and Keywords: jupyter-lab

and Include archived: true

2 materials found
  • e-learning

    Fine tune large protein model (ProtTrans) using HuggingFace

    • beginner
    Statistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning
  • e-learning

    A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy

    • beginner
    Statistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure
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.