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    • Scientific topic
    • Algorithms68
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    • Exomes48
    • Genome annotation48
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    • Bottom-up proteomics44
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    • Proteomics44
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    • Comparative transcriptomics38
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    • Protein structure11
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    • Operation
    • Data extraction3
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    • Galaxy306
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    • Bowtie 25
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    • MuSiC suite: PoPMuSiC, HoTMuSiC, and SNPMuSiC5
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    • Bwa-mem24
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    • covid199
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    • bioimaging7
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    • SARS-CoV-26
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    • Variants6
    • nanopore6
    • rmarkdown-notebook6
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    • Large Language Model5
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    • label-TMT115
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    • Difficulty level
    • Beginner448
    • Not specified114
    • Intermediate106
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    • Licence
    • Creative Commons Attribution 4.0 International531
    • License Not Specified144
    • Creative Commons Attribution Share Alike 4.0 International16
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International3
    • Creative Commons Attribution Non Commercial Share Alike 4.0 International1
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    • Target audience
    • Students415
    • Clinicians110
    • PhD students110
    • Galaxy Administrators55
    • Instructors46
    • Scientists12
    • health professionals10
    • PhD candidates9
    • Researcher in life sciences9
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    • Health Care Professionals7
    • Bioinformaticians6
    • Patient Advocates 6
    • rare disease patients representatives5
    • Anyone wishing to use bioinformatics resources to find basic information about a virus.4
    • Life Science Researchers4
    • Researchers4
    • Bench biologists3
    • Biologists3
    • Biologists with little or no prior computational experience3
    • Biomedical researchers3
    • Clinical Scientists3
    • biologists3
    • medical students3
    • Bioinformaticians, Biologists with little or no prior computational experience.2
    • General Physicians2
    • Laboratory technicians2
    • Veterinarians2
    • biocurators2
    • 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
    • Biomedical Researchers1
    • Biotechnology Companies1
    • Data Managers1
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    • Fellows and Residents1
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    • Healthcare1
    • Life science researchers who are new to high performance computing1
    • Life scientists with no or little knowledge of the ISMARA tool.1
    • 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
    • Paediatricians1
    • PhD Students1
    • Primary care doctors1
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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
    • beginner1
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    • Author
    • Helena Rasche94
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    • Katherine Do13
    • Monique Zahn13
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    • Anne Fouilloux12
    • Julia Jakiela12
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    • Khaled Jum'ah11
    • Maria Doyle11
    • Cristóbal Gallardo10
    • Delphine Lariviere10
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    • Pavankumar Videm10
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    • Anup Kumar9
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    • Diana Chiang Jurado6
    • ELIXIR Goblet Train the Trainers6
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e-Learning

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Resource type: e-learning

696 e-learning materials found
  • e-learning

    Audio data annotation with NEAL (Nature + Energy Audio labeler).

    • beginner
    Ecology
  • e-learning

    Navigating the AlphaFold database: Quick tour

    ELIXIR node event
    Protein folds and structural domains alphafold database alphafold predicted structures
  • e-learning

    Creation of the labs in the different Galaxy instances for your community

    • beginner
    CoDex Community Galaxy Community Building SIG
  • e-learning

    OpenRefine Tutorial for researching cultural data

    • beginner
    Digital Humanities
  • e-learning

    Creation of resources listing Galaxy workflow for your community

    • beginner
    Community Galaxy Community Building SIG
  • e-learning

    Creation of a Galaxy tutorial table for your community

    • beginner
    Community Galaxy Community Building SIG
  • e-learning

    Nitrate DMQC for autonomous platforms such as Argo floats

    • beginner
    Climate biogeochemical earth-system ocean
  • e-learning

    Introduction to Digital Humanities in Galaxy

    • beginner
    Digital Humanities text mining
  • e-learning

    Data Repositories for Bioinformatics

    ELIXIR node event
    • beginner
    Data management Online Repository Data reuse Data mining FAIR Data
  • e-learning

    Indexing and profiling microbes with MetaSBT

    • beginner
    Metagenomics Microbial ecology Taxonomy Microbiome diversity metagenomics taxonomic profiling
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.