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
    • Biomimeic chemistry3
    • Synthetic biology3
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training3
    • Show N_FILTERS more
    • Keyword
    • Synthetic Biology
    • jupyter-notebook41
    • Foundations of Data Science39
    • biodiversity38
    • Galaxy Server administration36
    • microgalaxy33
    • Single Cell32
    • Proteomics31
    • Ecology24
    • Transcriptomics23
    • Statistics and machine learning22
    • Contributing to the Galaxy Training Material20
    • Using Galaxy and Managing your Data20
    • ansible19
    • interactive-tools19
    • Genome Annotation18
    • git-gat18
    • Assembly16
    • Variant Analysis16
    • Teaching and Hosting Galaxy training15
    • Microbiome14
    • Development in Galaxy13
    • Climate12
    • FAIR Data, Workflows, and Research12
    • jbrowse112
    • prokaryote12
    • work-in-progress12
    • MIGHTS11
    • earth-system11
    • elixir11
    • gmod11
    • paper-replication11
    • Introduction to Galaxy Analyses10
    • cyoa10
    • DDA9
    • Imaging9
    • Metabolomics9
    • eukaryote9
    • one-health9
    • plants9
    • Computational chemistry8
    • Epigenetics8
    • Sequence analysis8
    • assembly8
    • covid198
    • data management8
    • fair8
    • EBV dataset7
    • EBV workflow7
    • collections7
    • ocean7
    • 10x6
    • nanopore6
    • train-the-trainers6
    • transcriptomics6
    • workflows6
    • Galaxy Community Building5
    • R5
    • SQL5
    • ai-ml5
    • data stewardship5
    • deploying5
    • jobs5
    • label-TMT115
    • metagenomics5
    • rmarkdown-notebook5
    • ro-crate5
    • 16S4
    • Genetic composition EBV class4
    • HeLa4
    • QC4
    • illumina4
    • metabarcoding4
    • mouse4
    • pangeo4
    • virology4
    • ChIP-seq3
    • DIA3
    • RAD-seq3
    • Visualisation3
    • amr3
    • apollo23
    • bacteria3
    • bash3
    • bioimaging3
    • bulk3
    • data import3
    • ecology3
    • gbif3
    • human3
    • metatranscriptomics3
    • modeling3
    • monitoring3
    • open3
    • pacbio3
    • proteogenomics3
    • rna-seq3
    • taxonomic data3
    • Community composition EBV class2
    • Evolution2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner3
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International3
    • Show N_FILTERS more
    • Target audience
    • Students3
    • Show N_FILTERS more
    • Author
    • Guillaume Gricourt3
    • Ioana Popescu3
    • Jean-Loup Faulon3
    • Joan Hérisson3
    • Kenza Bazi-Kabbaj3
    • Thomas Duigou3
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann
    • Helena Rasche2
    • Kenza Bazi-Kabbaj2
    • Cristóbal Gallardo1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows3
    • Associated Training Datasets2
    • 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

e-Learning

  • Subscribe via email

Email Subscription

Register training material

Keywords: Synthetic Biology

and Contributors: Saskia Hiltemann

and Resource type: e-learning

3 e-learning materials found
  • 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
  • e-learning

    Evaluating and ranking a set of pathways based on multiple metrics

    • beginner
    Synthetic biology Synthetic Biology
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.