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    • Scientific topic
    • Algorithms69
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    • Exomes48
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    • Operation
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    • MuSiC suite: PoPMuSiC, HoTMuSiC, and SNPMuSiC5
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    • covid199
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    • Creative Commons Attribution 4.0 International552
    • License Not Specified161
    • Creative Commons Attribution Share Alike 4.0 International19
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International3
    • Creative Commons Attribution Non Commercial Share Alike 4.0 International2
    • MIT License2
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    • Target audience
    • Students434
    • PhD students119
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    • Galaxy Administrators56
    • Instructors46
    • health professionals13
    • Scientists12
    • healthcare professionals11
    • PhD candidates9
    • Researcher in life sciences9
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    • rare disease patients representatives7
    • Life Science Researchers7
    • Bioinformaticians6
    • Researchers6
    • Anyone wishing to use bioinformatics resources to find basic information about a virus.4
    • Bench biologists3
    • Biologists3
    • Biologists with little or no prior computational experience3
    • Biomedical researchers3
    • Clinical Scientists3
    • General Physicians3
    • biologists3
    • medical students3
    • Bioinformaticians, Biologists with little or no prior computational experience.2
    • Laboratory technicians2
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    • All postgraduates1
    • Analysts1
    • Anyone dealing with cell lines with no or little knowledge of the Cellosaurus resource.1
    • Anyone wishing to interpret graphs showing the progression of COVID-19.1
    • Biologists and bioinformaticians1
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    • Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
    • Neurological1
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    • Students, postdocs, and researchers, from any scientific environment (academia, facilities, companies, etc.) interested in viral data, as well as anyone looking for virion and viral genome images for use in teaching or publications.1
    • Support Staff1
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    • Author
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and Resource type: e-learning

740 materials found
  • e-learning

    Neoantigen 1a: Fusion-Database-Generation

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 2: Non-normal-Database-Generation

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 4: Variant Annotation

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 3: PepQuery2 Verification

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 2: Database merge and FragPipe discovery

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 5b: IEDB binding Validated Neopeptides

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Neoantigen 5a: Predicting HLA Binding

    • Beginner
    Proteomics Proteomics label-free
  • e-learning

    Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data

    • Beginner
    Metagenomics Microbial ecology Genomics Microbiology Sequence analysis Mobile genetic elements Microbiome
  • e-learning

    Creating community content

    • Beginner
    Galaxy Community Building
  • e-learning

    Galaxy usage on SURF Research Cloud

    • Beginner
    Informatics Data management Galaxy Server administration deploying
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.