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
    • Metagenomics
    • R10
    • R program10
    • R script10
    • Data management8
    • Metadata management8
    • Research data management (RDM)8
    • FAIR data7
    • Findable, accessible, interoperable, reusable data7
    • Python4
    • Python program4
    • Python script4
    • py4
    • Active learning2
    • Chromosome walking2
    • Clone verification2
    • DNA-Seq2
    • DNase-Seq2
    • Ensembl learning2
    • High throughput sequencing2
    • High-throughput sequencing2
    • Kernel methods2
    • Knowledge representation2
    • Machine learning2
    • NGS2
    • NGS data analysis2
    • Neural networks2
    • Next gen sequencing2
    • Next generation sequencing2
    • Panels2
    • Pipelines2
    • Primer walking2
    • R markdown2
    • Recommender system2
    • Reinforcement learning2
    • Sanger sequencing2
    • Sequencing2
    • Shotgun metagenomics2
    • Software integration2
    • Supervised learning2
    • Targeted next-generation sequencing panels2
    • Tool integration2
    • Tool interoperability2
    • Unsupervised learning2
    • Workflows2
    • Bayesian methods1
    • Biostatistics1
    • CWL1
    • Cloud computing1
    • Common Workflow Language1
    • CommonWL1
    • Computer science1
    • Data rendering1
    • Data visualisation1
    • Descriptive statistics1
    • Exomes1
    • Gaussian processes1
    • Genome annotation1
    • Genomes1
    • Genomics1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Personal genomics1
    • Probabilistic graphical model1
    • Probability1
    • Statistics1
    • Statistics and probability1
    • Synthetic genomics1
    • Variant pattern analysis1
    • Viral genomics1
    • Whole genomes1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • Show N_FILTERS more
    • Keyword
    • Metagenomics2
    • Genomics1
    • Next generation sequencing1
    • Unix/Linux1
    • Show N_FILTERS more
    • Competency level
    • Not specified2
    • Show N_FILTERS more
    • Licence
    • License Not Specified2
    • Show N_FILTERS more
    • Author
    • The Carpentries Lab2
    • Show N_FILTERS more
    • Contributor
    • Greg Wilson
    • Saskia Hiltemann26
    • Bérénice Batut23
    • Helena Rasche15
    • Björn Grüning14
    • Paul Zierep12
    • Canadian Bioinformatics Workshops7
    • Pratik Jagtap7
    • Cristóbal Gallardo6
    • Aaron E. Jaime5
    • AbrahamAvelar5
    • Claudia Zirión Martínez5
    • Deepti Varshney5
    • J. Abel Lovaco5
    • Nelly Sélem5
    • Robyn Wright5
    • Subina Mehta5
    • Timothy J. Griffin5
    • Toby Hodges5
    • Abby Cabunoc Mayes4
    • Allen Lee4
    • Andrew Sanchez4
    • Andy Boughton4
    • Bianca Peterson4
    • Brandon Curtis4
    • C. Titus Brown4
    • David Mawdsley4
    • David Pérez-Suárez4
    • Diego Garfias Gallegos4
    • Erin Becker4
    • EvanWill4
    • François Michonneau4
    • Gabriel A. Devenyi4
    • Ian Lee4
    • Jeff Oliver4
    • Jemma Stachelek4
    • Joel Nothman4
    • Jon Pipitone4
    • Jonah Duckles4
    • Katie Anne Mills4
    • Katrin Leinweber4
    • Maxim Belkin4
    • Michael Hansen4
    • Michael R. Crusoe4
    • Natalie Whitaker-Allen4
    • Nick Young4
    • Piotr Banaszkiewicz4
    • Raniere Silva4
    • Remi Rampin4
    • Teresa Müller4
    • Tracy Teal4
    • W. Trevor King4
    • William L. Close4
    • naught1014
    • zhibinlu4
    • CladoniaRang3
    • Engy Nasr3
    • Nicola Soranzo3
    • Pete3
    • Rayna M Harris3
    • Sarah Brown3
    • Tristan Reynolds3
    • William Durand3
    • maneesha3
    • Aaron O'Leary2
    • Alex Mitchell2
    • Alex Whan2
    • Amanda Charbonneau2
    • Amy Brown2
    • Ana Conrado2
    • Ana Popovic2
    • Anna Syme2
    • Annajiat Alim Rasel2
    • Anthony Gitter2
    • Ariel Rokem2
    • Bartosz Telenczuk2
    • Carol Willing2
    • Chris Erdmann2
    • Christina K.2
    • Christine Oger2
    • Colin2
    • David Beitey2
    • Diana2
    • Donny Winston2
    • Emma Leith2
    • Florian Rathgeber2
    • Gerard Capes2
    • Hena2
    • Hilmar Lapp2
    • Igor Makunin2
    • Ivan Gonzalez2
    • James Allen2
    • JesseKerkvliet2
    • John Blischak2
    • João Rodrigues2
    • K.E. Koziar2
    • Karen Word2
    • Kate Hertweck2
    • Kenny Gillen2
    • Krishnakumar Gopalakrishnan, PhD2
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • 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

Scientific topics: Metagenomics

and Contributors: Greg Wilson

2 materials found
  • carpentries-lab/metagenomics-shell

    ELIXIR node event
    Metagenomics Unix/Linux Metagenomics
  • carpentries-lab/metagenomics-workshop

    ELIXIR node event
    Genomics Metagenomics Sequencing Metagenomics Genomics Next generation sequencing
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.