Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSSHub makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSSHub in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Diffraction experiment2
    • Imaging2
    • Microscopy2
    • Microscopy imaging2
    • Optical super resolution microscopy2
    • Photonic force microscopy2
    • Photonic microscopy2
    • Show N_FILTERS more
    • Tool
    • Galaxy2
    • Show N_FILTERS more
    • Content provider
    • Australian BioCommons2
    • GTN2
    • Show N_FILTERS more
    • Keyword
    • R325
    • Transcriptomics158
    • Genomics155
    • Python139
    • RNA-seq126
    • Next generation sequencing119
    • Bioinformatics86
    • Data management81
    • Statistics78
    • Galaxy Server administration68
    • Data science67
    • Machine learning65
    • Single-cell sequencing61
    • Unix/Linux61
    • FAIR data59
    • Reproducibility58
    • jupyter-notebook55
    • Foundations of Data Science51
    • Proteomics51
    • Data visualization50
    • Variant analysis50
    • Version control50
    • Workflows49
    • biodiversity47
    • Development in Galaxy45
    • Statistics and machine learning45
    • metagenomics44
    • Single Cell42
    • Genome assembly41
    • microgalaxy41
    • Galaxy36
    • General36
    • Genome annotation36
    • Metagenomics33
    • Genome Annotation32
    • QC32
    • training32
    • Ecology30
    • Microbiome30
    • programming29
    • Assembly28
    • Genome28
    • Molecular28
    • Nextflow28
    • Using Galaxy and Managing your Data28
    • Alignment27
    • Contributing to the Galaxy Training Material27
    • biohackaton 201827
    • Epigenetics26
    • Long read sequencing26
    • Docker24
    • FAIR24
    • Phylogenetics23
    • ChIP-seq22
    • Containerization22
    • Shiny22
    • Spatial transcriptomics22
    • High performance computing21
    • ansible21
    • Annotation20
    • BAM20
    • Imaging20
    • reproducible research20
    • Artificial intelligence19
    • CfRR19
    • Differential-expression19
    • Metabolomics19
    • Microbiology19
    • Pre-processing19
    • RNA-Seq19
    • git-gat19
    • scientific computing19
    • FASTQ18
    • NGS18
    • Sequence analysis18
    • Variant Analysis18
    • interactive-tools18
    • work-in-progress18
    • Climate17
    • Comparative genomics17
    • Teaching and Hosting Galaxy training17
    • elixir17
    • FAIR Data, Workflows, and Research16
    • Introduction to Galaxy Analyses16
    • R-programming16
    • jbrowse116
    • prokaryote16
    • Visualisation15
    • earth-system15
    • gmod15
    • ATAC-seq14
    • Anatomy Physiology and Atlases14
    • Image analysis14
    • Julia14
    • Quarto14
    • Statistical-model14
    • transcriptomics14
    • Cloud computing13
    • Enrichment analysis13
    • Exploratory-analysis13
    • Show N_FILTERS more
    • Competency level
    • Intermediate2
    • Not specified2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International4
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Hofmann, Oliver1
    • Maarten Paul1
    • Martin Etzrodt1
    • Payne, Thomas1
    • Pope, Bernie1
    • Riccardo Massei1
    • Taouk, Kamile1
    • Wong-Erasmus, Marie1
    • Show N_FILTERS more
    • Contributor
    • Beatriz Serrano-Solano2
    • Leonid Kostrykin2
    • Armin Dadras1
    • Björn Grüning1
    • Diana Chiang Jurado1
    • Maarten Paul1
    • Martin Čech1
    • Pavankumar Videm1
    • Riccardo Massei1
    • Saskia Hiltemann1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows2
    • Show N_FILTERS more
    • Status
    • Active2
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email
  • Harvest using OAI-PMH

Email Subscription

Harvest using OAI-PMH

Exchange content using OAI-PMH

Use an OAI-PMH compatible tool to harvest metadata using the OAI-PMH endpoint. In particular, this endpoint can be used for exchanging content between different TeSS instances. See the TeSS documentation for more details.

Register training material

Keywords: Data sharing

and User: scraper

and Include broken links: true

4 materials found
  • e-learning

    Content Tracking and Verification in Galaxy Workflows with ISCC-SUM

    •• Intermediate
    Imaging Data handling Data management Data sharing Imaging Validation
  • e-learning

    Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy

    •• Intermediate
    Imaging Data handling Data management Data sharing Imaging ROI selection
  • WEBINAR: MetaboLights: the home for metabolomics experiments and derived information

    Bioinformatics Metabolomics Metabolites Data sharing
  • WEBINAR: Establishing Gen3 to enable better human genome data sharing in Australia

    Bioinformatics Genomics Human genomics Digital infrastructure Gen3 Data sharing Data management
Training eSupport System
[email protected]
Contribute
About TeSSHub
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSSHub has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.