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
    • Active learning3
    • Ensembl learning3
    • Kernel methods3
    • Knowledge representation3
    • Machine learning3
    • Neural networks3
    • Recommender system3
    • Reinforcement learning3
    • Supervised learning3
    • Unsupervised learning3
    • DNA structure prediction2
    • Nucleic acid design2
    • Nucleic acid folding2
    • Nucleic acid structure prediction2
    • Protein fold recognition2
    • Protein structure2
    • Protein structure analysis2
    • Protein structure prediction2
    • Protein tertiary structure2
    • RNA structure prediction2
    • Structure prediction2
    • Show N_FILTERS more
    • Content provider
    • ELIXIR Brazil3
    • Show N_FILTERS more
    • Keyword
    • Structure prediction2
    • AlphaFold1
    • AlphaFold Database (13181)1
    • Deep Learning1
    • Machine Learning1
    • Structure design1
    • Show N_FILTERS more
    • Difficulty level
    • Intermediate3
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Creative Commons Attribution Non Commercial Share Alike 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Life scientists with programming skills
    • Students467
    • Researchers203
    • Biologists, Genomicists, Computer Scientists169
    • Post-Doctoral Fellows162
    • PhD students141
    • Clinicians106
    • Graduate students85
    • Galaxy Administrators82
    • Graduate Students78
    • Instructors49
    • Novice44
    • Biologists38
    • Life Science Researchers34
    • bioinformaticians32
    • PhD candidate27
    • Intermediate26
    • post-docs20
    • Academia/ Research Institution17
    • Industry17
    • Non-Profit Organisation17
    • life scientists16
    • Beginners15
    • Bench biologists15
    • Healthcare15
    • beginner bioinformaticians14
    • Bioinformaticians13
    • Trainers13
    • software developers, bioinformaticians12
    • data stewards11
    • health professionals10
    • Master students10
    • PhD candidates9
    • biocurators9
    • healthcare professionals9
    • Biomedical researchers8
    • PhD8
    • Biomedical Researchers7
    • Data Managers7
    • Data Scientists7
    • Health Care Professionals7
    • Research Scientists7
    • Scientists7
    • Training Designers7
    • Training instructors7
    • Patient Advocates 6
    • Post Docs6
    • rare disease patients representatives5
    • All postgraduates5
    • Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities5
    • General Interest5
    • Life scientists5
    • Undergraduate students5
    • biologists5
    • computational scientists5
    • data managers5
    • postgrad5
    • Chemists4
    • Clinical Scientists4
    • Computational biologists4
    • Laboratory technicians4
    • Professors4
    • Veterinarians4
    • postdocs4
    • postdoctoral researchers4
    • programmers4
    • Life Scientists3
    • Postgraduate students3
    • data steward / data manager3
    • geneticists3
    • medical students3
    • modelers3
    • plant researchers3
    • postdoc3
    • project manager3
    • software engineers3
    • teachers3
    • Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).2
    • General Physicians2
    • Life sciences2
    • PhD Students2
    • Staff2
    • Technicians2
    • biology and bioinformatics sophomore undergraduates2
    • data manager2
    • experimeintal biologist researchers2
    • policy officer2
    • scientific researchers, public health professionals and clinicians 2
    • service administrators in organizations that want to make use of ELIXIR AAI 2
    • statisticians2
    • web developers2
    • Research Assistants and Research Associates1
    • Anyone1
    • Anyone interested in bioinformatics1
    • Anyone wants to start using the Unix/Linux OS1
    • Anyone who wants to become a good trainer or teacher1
    • Bachelor students1
    • Beginner informatics1
    • Biochemists1
    • Bioimage Analysts1
    • Show N_FILTERS more
    • Author
    • Alexander Botzki | https://orcid.org/0000-0001-6691-42331
    • Anastassia Vorebieva1
    • Andrei Sokolovskii1
    • Jasper Zuallaert1
    • Sven Degroeve1
    • Thomas Guiziou1
    • Show N_FILTERS more
    • Contributor
    • Alexander Botzki1
    • Kenneth Hoste1
    • Show N_FILTERS more
    • Resource type
    • hands-on tutorial3
    • 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

Target audience: Life scientists with programming skills

3 materials found
  • hands-on tutorial

    Introduction to Protein Design

    •• intermediate
    Protein structure analysis Machine learning Structure prediction AlphaFold Structure design
  • hands-on tutorial

    A tour of Machine Learning

    •• intermediate
    Machine learning Deep Learning Machine Learning
  • hands-on tutorial

    AlphaFold and friends on the HPC

    •• intermediate
    Protein structure analysis Machine learning Structure prediction AlphaFold Database (13181)
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.