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
    • Biological sequences4
    • Community analysis4
    • DNA metabarcoding4
    • Environmental metabarcoding4
    • Environmental microbiology4
    • Metabarcoding4
    • Metagenomics4
    • Microbial ecology4
    • Microbiome4
    • Molecular community analysis4
    • RNA metabarcoding4
    • Sequence analysis4
    • Sequence databases4
    • Shotgun metagenomics4
    • Taxonomy4
    • eDNA metabarcoding4
    • eRNA metabarcoding4
    • Show N_FILTERS more
    • Tool
    • Galaxy4
    • Newick Utilities2
    • mothur2
    • taxonomy_krona_chart2
    • dada21
    • fastp1
    • kraken21
    • phyloseq1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training4
    • Show N_FILTERS more
    • Keyword
    • metabarcoding
    • Single Cell31
    • microgalaxy31
    • Galaxy Server administration24
    • Proteomics23
    • Transcriptomics23
    • Statistics and machine learning22
    • Genome Annotation18
    • biodiversity18
    • Microbiome16
    • Ecology14
    • fair14
    • Assembly12
    • FAIR Data, Workflows, and Research12
    • Epigenetics11
    • Sequence analysis11
    • paper-replication11
    • Introduction to Galaxy Analyses10
    • MIGHTS10
    • Using Galaxy and Managing your Data10
    • ansible10
    • data stewardship10
    • prokaryote10
    • work-in-progress10
    • Variant Analysis9
    • git-gat9
    • interactive-tools9
    • label-free9
    • plants9
    • Climate8
    • Evolution8
    • Imaging8
    • gmod8
    • Foundations of Data Science7
    • dmp7
    • jbrowse17
    • jupyter-notebook7
    • EBV dataset6
    • Metabolomics6
    • cyoa6
    • nanopore6
    • transcriptomics6
    • DDA5
    • EBV workflow5
    • assembly5
    • data management5
    • illumina5
    • label-TMT115
    • metagenomics5
    • 10x4
    • 16S4
    • Genetic composition EBV class4
    • bacteria4
    • bioimaging4
    • mouse4
    • ChIP-seq3
    • FAIR3
    • QC3
    • RAD-seq3
    • amr3
    • eukaryote3
    • metatranscriptomics3
    • open3
    • pangeo3
    • rmarkdown-notebook3
    • Community composition EBV class2
    • Contributing to the Galaxy Training Material2
    • Data Paper2
    • EML2
    • HeLa2
    • Metadata2
    • Species population EBV class2
    • Species populations EBV class2
    • Synthetic Biology2
    • Visualisation2
    • climate2
    • collections2
    • data import2
    • deep-learning2
    • ecology2
    • essential genes2
    • jobs2
    • jupyter-lab2
    • machine-learning2
    • monitoring2
    • networking2
    • one-health2
    • taxonomic data2
    • training2
    • wireguard2
    • AI1
    • Biodiversity1
    • CRISPR1
    • DIA1
    • Development in Galaxy1
    • Digital Humanities1
    • EBV workflowz1
    • ENA1
    • FAIR Data1
    • FAIR Learning Objects1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International4
    • Show N_FILTERS more
    • Target audience
    • Students4
    • Show N_FILTERS more
    • Author
    • Bérénice Batut3
    • Dave Clements2
    • Saskia Hiltemann2
    • Cristóbal Gallardo1
    • Show N_FILTERS more
    • Contributor
    • Bérénice Batut4
    • Saskia Hiltemann4
    • Helena Rasche3
    • Björn Grüning2
    • Deepti Varshney2
    • Beatriz Serrano-Solano1
    • Bert Droesbeke1
    • Clea Siguret1
    • Cristóbal Gallardo1
    • Linelle Abueg1
    • Matthias Bernt1
    • Nate Coraor1
    • Niall Beard1
    • Nicola Soranzo1
    • Paul Zierep1
    • Willem de Koning1
    • William Durand1
    • Show N_FILTERS more
    • Resource type
    • e-learning4
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Associated Workflows4
    • Quarto/RMarkdown Notebook1
    • 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

Keywords: metabarcoding

and Difficulty level: Beginner

and Related resources: Associated Training Datasets

4 materials found
  • e-learning

    16S Microbial Analysis with mothur (extended)

    • beginner
    Metagenomics Microbial ecology Taxonomy Sequence analysis Metabarcoding 16S Microbiome metabarcoding microgalaxy
  • e-learning

    16S Microbial analysis with Nanopore data

    • beginner
    Metagenomics Microbial ecology Taxonomy Sequence analysis Metabarcoding 16S Microbiome metabarcoding microgalaxy nanopore …
  • e-learning

    Building an amplicon sequence variant (ASV) table from 16S data using DADA2

    • beginner
    Metagenomics Microbial ecology Taxonomy Sequence analysis Metabarcoding 16S Microbiome metabarcoding microgalaxy
  • e-learning

    16S Microbial Analysis with mothur (short)

    • beginner
    Metagenomics Microbial ecology Taxonomy Sequence analysis Metabarcoding 16S Microbiome metabarcoding microgalaxy
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.