Bioconductor logo
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • Events
  • Materials
  • Collections
  • Learning paths

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
    • Biomimeic chemistry4
    • Synthetic biology4
    • Bioinformatics1
    • Biological processes1
    • Genes1
    • Genetic engineering1
    • Genetic manipulation1
    • Genetic modification1
    • Genetics1
    • Genome editing1
    • Genome engineering1
    • Heredity1
    • Metabolic engineering1
    • Molecular biology1
    • Show N_FILTERS more
    • Content provider
    • GTN3
    • ELIXIR1
    • Show N_FILTERS more
    • Keyword
    • R346
    • Python260
    • hbovpk224
    • Hochschuldidaktik218
    • Hochschullehre193
    • QUADIS172
    • Transcriptomics152
    • Genomics148
    • Hochschule140
    • Didaktik134
    • Seminar130
    • Elementar+123
    • Data management122
    • Kursmaterial122
    • Next generation sequencing115
    • RNA-seq115
    • FAIR data113
    • Workshop110
    • Vorlage107
    • asynchron107
    • biodiversity106
    • Template104
    • Barrierefreiheit103
    • Onlinelehre101
    • FAIR100
    • Bioinformatics96
    • blended learning93
    • synchron93
    • Profilehreplus88
    • CHE86
    • Data science85
    • jupyter-notebook84
    • Statistics83
    • digital gestützte Lehre82
    • Machine learning80
    • microgalaxy80
    • OER79
    • Reproducibility79
    • Educación física77
    • Lehre77
    • Entrenamiento70
    • Galaxy Server administration68
    • Open Science67
    • data management67
    • HBOVPK65
    • Verpleegkunde65
    • gaming65
    • Spiel (Spielen, Spiele)63
    • Unix/Linux63
    • Behinderung (Behinderungen)61
    • Single-cell sequencing59
    • Open educational Resources58
    • Bereich A Lehr-Lern-Konzepte57
    • maan kasvukunto57
    • Data visualization56
    • Digitalisierung (Digitale Transformation, Digitaler Wandel)56
    • Workflows56
    • Blended Learning55
    • Jukka Rajala54
    • work-in-progress54
    • Proteomics53
    • Version control53
    • Foundations of Data Science52
    • ProfiLehrePlus52
    • E-Learning (Learning on demand, Digitales Lernen)51
    • HU51
    • HAN49
    • Studiehandleiding49
    • training49
    • Steckbrief48
    • Variant analysis48
    • Deporte47
    • luomu47
    • Digitalisierung46
    • RDM46
    • Development in Galaxy45
    • Genome assembly44
    • HSLeiden44
    • Salud44
    • Statistics and machine learning44
    • Bildung43
    • Single Cell42
    • programming42
    • Digitale Lehre40
    • Zorgverlener40
    • luomutuotanto40
    • Weiterbildung39
    • avans39
    • metadata39
    • Digitale Spiele38
    • Medienpädagogik38
    • workshop38
    • ICF37
    • Actividad física36
    • Digital gestützte Lehre36
    • General36
    • Genome annotation36
    • Inklusion36
    • tietokortit36
    • Kommunikation35
    • Show N_FILTERS more
    • Competency level
    • Beginner4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International3
    • MIT License1
    • Show N_FILTERS more
    • Target audience
    • Students3
    • Biologists and bioinformaticians1
    • Show N_FILTERS more
    • Author
    • Guillaume Gricourt3
    • Ioana Popescu3
    • Jean-Loup Faulon3
    • Joan Hérisson3
    • Kenza Bazi-Kabbaj3
    • Thomas Duigou3
    • Björn Johansson1
    • Lucas Levassor1
    • Manuel Lera-Ramirez1
    • Peilun Xie1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann3
    • Helena Rasche2
    • Kenza Bazi-Kabbaj2
    • BjornFJohansson1
    • Cristóbal Gallardo1
    • Filipa Pereira1
    • amijalis1
    • bruno2git1
    • dgruano1
    • hgbrian1
    • hiyama3411
    • hristog1
    • jan-glx1
    • jxu101
    • louisabraham1
    • manulera1
    • Show N_FILTERS more
    • Resource type
    • e-learning4
    • Bioinformatics1
    • Coding1
    • Documentation1
    • Scripts1
    • examples1
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows3
    • Associated Training Datasets2
    • pydna1
    • Show N_FILTERS more
    • Status
    • Active1
    • Show N_FILTERS more
  • Only show materials from current space
  • Show disabled materials
  • Show 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: Synthetic Biology

and Across all spaces: true

4 materials found
  • Documentation, Coding, Bioinformatics, Scripts, examples, e-learning

    How to use pydna, a python library to plan and simulate DNA assembly, cloning and genome engineering

    ELIXIR node event
    • Beginner
    Synthetic biology Bioinformatics Molecular biology Genetic engineering Metabolic engineering Genetics Synthetic Biology Genetic Engineering Molecular biology Cloning …
  • e-learning

    Evaluating and ranking a set of pathways based on multiple metrics

    • Beginner
    Synthetic biology Synthetic Biology
  • e-learning

    Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools

    • Beginner
    Synthetic biology Synthetic Biology
  • e-learning

    Designing plasmids encoding predicted pathways by using the BASIC assembly method

    • Beginner
    Synthetic biology Synthetic Biology
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.