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

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS 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
    • Active learning1
    • DNA structure prediction1
    • Ensembl learning1
    • Kernel methods1
    • Knowledge representation1
    • Machine learning1
    • Neural networks1
    • Nucleic acid design1
    • Nucleic acid folding1
    • Nucleic acid structure prediction1
    • Protein fold recognition1
    • Protein structure1
    • Protein structure analysis1
    • Protein structure prediction1
    • Protein tertiary structure1
    • RNA structure prediction1
    • Recommender system1
    • Reinforcement learning1
    • Structure prediction1
    • Supervised learning1
    • Unsupervised learning1
    • Show N_FILTERS more
    • Content provider
    • VIB Training & Conferences1
    • Show N_FILTERS more
    • Keyword
    • Best practises1
    • Data Protection1
    • General Data Protection Regulation1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution Non Commercial Share Alike 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Students422
    • Galaxy Administrators111
    • Researchers50
    • Instructors49
    • PhD candidate26
    • Biologists25
    • Data stewards22
    • Life Science Researchers22
    • PhD candidates20
    • Bioinformaticians17
    • Data Scientist16
    • Data managers16
    • Scientists16
    • Data Managers14
    • bioinformaticians14
    • PhD students13
    • PhD Students12
    • Data Scientists11
    • Researcher10
    • Researcher in life sciences10
    • Clinicians8
    • Research Scientists8
    • Beginner7
    • Bench biologists7
    • Biomedical Researchers7
    • Computational biologists7
    • Life scientists7
    • Master students7
    • biologists7
    • Biomedical researchers6
    • Trainers6
    • Chemists5
    • PI5
    • data stewards5
    • modelers5
    • Anyone wishing to use bioinformatics resources to find basic information about a virus.4
    • Biologists with little or no prior computational experience4
    • Laboratory technicians4
    • Scientific community4
    • Training Designers4
    • Training instructors4
    • Veterinarians4
    • project manager4
    • Academia/ Research Institution3
    • Beginners3
    • Bioinformatician3
    • Bioinformatician, Bioanalysts3
    • Biologists, Genomicists, Computer Scientists3
    • Curators3
    • Data Steward3
    • Healthcare3
    • Industry3
    • Life Scientists3
    • Non-Profit Organisation3
    • Post Docs3
    • Post-Doctoral Fellows3
    • beginner bioinformaticians3
    • biocurators3
    • data steward / data manager3
    • life scientists3
    • researchers3
    • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
    • Bioinformaticians, Biologists with little or no prior computational experience.2
    • Clinical Scientists2
    • Data Manager2
    • Database users2
    • Graduate Students2
    • Graduate students2
    • Ontologists2
    • Patient Advocates 2
    • PhD2
    • PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members2
    • Policy makers2
    • Postdocs and Staff members2
    • Principal Investigators (PIs)2
    • Professor2
    • Research scientists2
    • Staff2
    • Technicians2
    • Undergraduate students2
    • computational scientists2
    • data managers2
    • database managers2
    • plant researchers2
    • policy officer2
    • post-docs2
    • software developers, bioinformaticians2
    • rare disease patients representatives1
    • Anyone1
    • 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
    • Beginner informatics1
    • Beginners in statistics1
    • Biochemists1
    • Bioimage Analysts1
    • Biologists and bioinformaticians1
    • Biologists interested in learning about RNA-seq1
    • Biophysicists1
    • Biotechnology Companies1
    • Computer Vision scientists1
    • Show N_FILTERS more
    • Author
    • Alexander Botzki1
    • Matheus Lourenço1
    • Show N_FILTERS more
    • Contributor
    • Kenneth Hoste1
    • Show N_FILTERS more
    • Resource type
    • e-learning1
    • Show N_FILTERS more
    • Node
    • Belgium1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Competency level: Beginner

and Target audience: scientists

1 material found
  • e-learning

    Introduction to the General Data Protection Regulation (GDPR)

    ELIXIR node event
    • Beginner
    Protein structure analysis Machine learning Structure prediction Best practises Data Protection General Data Protection Regulation
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.