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 methods1
    • Biostatistics1
    • Descriptive statistics1
    • Gaussian processes1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • Statistics1
    • Statistics and probability1
    • Show N_FILTERS more
    • Tool
    • Galaxy2
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Galaxy Server administration41
    • Single Cell37
    • Proteomics32
    • biodiversity29
    • microgalaxy27
    • Statistics and machine learning26
    • Using Galaxy and Managing your Data21
    • Contributing to the Galaxy Training Material20
    • Transcriptomics20
    • jupyter-notebook18
    • Development in Galaxy17
    • Genome Annotation17
    • Assembly16
    • Variant Analysis15
    • ansible15
    • Ecology14
    • git-gat14
    • jbrowse114
    • interactive-tools13
    • Epigenetics12
    • Introduction to Galaxy Analyses12
    • Microbiome12
    • earth-system12
    • paper-replication12
    • MIGHTS11
    • Teaching and Hosting Galaxy training11
    • gmod11
    • elixir10
    • prokaryote10
    • Climate9
    • FAIR Data, Workflows, and Research9
    • Foundations of Data Science9
    • Imaging9
    • eukaryote9
    • work-in-progress9
    • DDA8
    • ocean8
    • one-health8
    • Computational chemistry7
    • assembly7
    • covid197
    • cyoa7
    • plants7
    • workflows7
    • 10x6
    • Metabolomics6
    • Sequence analysis6
    • Visualisation6
    • data stewardship6
    • fair6
    • EBV dataset5
    • EBV workflow5
    • Large Language Model5
    • ai-ml5
    • collections5
    • dmp5
    • jobs5
    • label-TMT115
    • train-the-trainers5
    • transcriptomics5
    • DIA4
    • HeLa4
    • QC4
    • illumina4
    • mouse4
    • nanopore4
    • storage4
    • ChIP-seq3
    • FAIR3
    • Galaxy Community Building3
    • Genetic composition EBV class3
    • RAD-seq3
    • amr3
    • bacteria3
    • bioimaging3
    • data import3
    • data management3
    • deploying3
    • monitoring3
    • pacbio3
    • proteogenomics3
    • ro-crate3
    • virology3
    • 16S2
    • CoDex2
    • Community2
    • Data Paper2
    • Digital Humanities2
    • EML2
    • Evolution2
    • Metadata2
    • SIG2
    • Species population EBV class2
    • Species populations EBV class2
    • VGP2
    • apollo22
    • bulk2
    • deep-learning2
    • epigenetics2
    • essential genes2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner1
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Daniela Schneider2
    • Rand Zoabi1
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning
    • Daniela Schneider2
    • Saskia Hiltemann2
    • Rand Zoabi1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows2
    • 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

Keywords: text mining

and Contributors: Björn Grüning

2 materials found
  • e-learning

    Introduction to Digital Humanities in Galaxy

    • beginner
    Digital Humanities text mining
  • e-learning

    Text-Mining Differences in Chinese Newspaper Articles

    •• intermediate
    Statistics and probability Digital Humanities text mining
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.