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
    • Algorithms5
    • Computer programming5
    • Data structures5
    • Programming languages5
    • Software development5
    • Software engineering5
    • Bayesian methods2
    • Biostatistics2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Probabilistic graphical model2
    • Probability2
    • Statistics2
    • Statistics and probability2
    • Assembly1
    • Community analysis1
    • Comparative transcriptomics1
    • Environmental microbiology1
    • Metagenomics1
    • Microbial ecology1
    • Microbiome1
    • Molecular community analysis1
    • Sequence assembly1
    • Shotgun metagenomics1
    • Transcriptome1
    • Transcriptomics1
    • Show N_FILTERS more
    • Tool
    • Galaxy5
    • CheckM1
    • MEGAHIT1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training21
    • Show N_FILTERS more
    • Keyword
    • Teaching and Hosting Galaxy training9
    • elixir7
    • train-the-trainers6
    • Foundations of Data Science5
    • interactive-tools3
    • jupyter-notebook3
    • Contributing to the Galaxy Training Material2
    • Statistics and machine learning2
    • Microbiome1
    • R1
    • Transcriptomics1
    • Using Galaxy and Managing your Data1
    • ai-ml1
    • binning1
    • metagenomics1
    • microgalaxy1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner16
    • Intermediate5
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International21
    • Show N_FILTERS more
    • Target audience
    • Instructors11
    • Students10
    • Show N_FILTERS more
    • Author
    • Fotis E. Psomopoulos
    • Helena Rasche93
    • Bérénice Batut76
    • Saskia Hiltemann37
    • Anton Nekrutenko25
    • Björn Grüning24
    • Subina Mehta23
    • The Carpentries23
    • Yvan Le Bras20
    • Bazante Sanders18
    • Wendi Bacon18
    • Katarzyna Kamieniecka17
    • Krzysztof Poterlowicz17
    • Anthony Bretaudeau16
    • Marie Josse16
    • Simon Gladman15
    • Nicola Soranzo14
    • Donny Vrins13
    • James Johnson13
    • Katherine Do13
    • Wolfgang Maier13
    • Anne Fouilloux12
    • Julia Jakiela12
    • Mehmet Tekman12
    • Simon Bray12
    • Khaled Jum'ah11
    • Maria Doyle11
    • Cristóbal Gallardo10
    • Delphine Lariviere10
    • Melanie Föll10
    • Pavankumar Videm10
    • Pratik Jagtap10
    • Anup Kumar9
    • Marius van den Beek9
    • Nate Coraor9
    • Avans Hogeschool8
    • Patricia Palagi8
    • Timothy J. Griffin8
    • Anika Erxleben7
    • Daniel Blankenberg7
    • Dave Clements7
    • Florian Christoph Sigloch7
    • Laura Cooper7
    • Lucille Delisle7
    • Matthias Fahrner7
    • Paul Zierep7
    • Praveen Kumar7
    • Robert Andrews7
    • Allegra Via6
    • Andrew Mason6
    • Anna Syme6
    • Branka Franicevic6
    • Coline Royaux6
    • ELIXIR Goblet Train the Trainers6
    • Emma Leith6
    • Philippe Rocca-Serra6
    • Raphael Mourad6
    • Sara Morsy6
    • Valentin Loux6
    • Xenia Perez Sitja6
    • Alex Ostrovsky5
    • Christopher Barnett5
    • Clemens Blank5
    • Dechen Bhuming5
    • Erwan Corre5
    • Joachim Wolff5
    • John Chilton5
    • John Davis5
    • Kellie Snow5
    • Korneel Hens5
    • Leonid Kostrykin5
    • Munazah Andrabi5
    • Nadia Goué5
    • Nick Juty5
    • Ray Sajulga5
    • Saskia Lawson-Tovey5
    • Stéphanie Robin5
    • Alexandre Cormier4
    • Alireza Khanteymoori4
    • Anne Pajon4
    • Beatriz Serrano-Solano4
    • Diana Chiang Jurado4
    • Helge Hecht4
    • Hélène Chiapello4
    • Kaivan Kamali4
    • Laura Leroi4
    • Mallory Freeberg4
    • Mira Kuntz4
    • Morgan Howells4
    • Nadia Tonello4
    • Riccardo Massei4
    • Simone Leo4
    • Vivek Bhardwaj4
    • Belinda Phipson3
    • Enis Afgan3
    • Fidel Ramirez3
    • Florian Heyl3
    • Gianmauro Cuccuru3
    • Gildas Le Corguillé3
    • Guillaume Gricourt3
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann21
    • Helena Rasche16
    • Bérénice Batut11
    • Björn Grüning10
    • Anthony Bretaudeau9
    • Cristóbal Gallardo7
    • Maria Christina Maniou3
    • Marius van den Beek3
    • Martin Čech3
    • Peter van Heusden3
    • Anup Kumar2
    • Mateusz Kuzak2
    • Nate Coraor2
    • Anne Fouilloux1
    • Armin Dadras1
    • Deepti Varshney1
    • Fotis E. Psomopoulos1
    • Nikos Pechlivanis1
    • Sofoklis Keisaris1
    • Stella Fragkouli1
    • Teresa Müller1
    • Wendi Bacon1
    • Yvan Le Bras1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • Show N_FILTERS more
    • Related resource
    • Quarto/RMarkdown Notebook12
    • Associated Training Datasets4
    • Jupyter Notebook (with Solutions)4
    • Jupyter Notebook (without Solutions)4
    • 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

Authors: Fotis E. Psomopoulos

and Resource type: e-learning

21 e-learning materials found
  • e-learning

    Regulations/standards for AI using DOME

    •• intermediate
    Statistics and probability Statistics and machine learning ai-ml elixir
  • e-learning

    RNA Seq Counts to Viz in R

    • beginner
    Transcriptomics interactive-tools
  • e-learning

    Introduction to Machine Learning using R

    •• intermediate
    Statistics and probability Statistics and machine learning interactive-tools
  • e-learning

    RStudio in Galaxy

    • beginner
    Using Galaxy and Managing your Data interactive-tools
  • e-learning

    Advanced R in Galaxy

    •• intermediate
    Software engineering Foundations of Data Science R
  • e-learning

    Introduction to Python

    • beginner
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Plotting in Python

    •• intermediate
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Advanced Python

    •• intermediate
    Software engineering Foundations of Data Science jupyter-notebook
  • e-learning

    Binning of metagenomic sequencing data

    • beginner
    Metagenomics Microbial ecology Sequence assembly Microbiome binning metagenomics microgalaxy
  • e-learning

    Teaching experiences

    • beginner
    Teaching and Hosting Galaxy training
  • 1
  • 2
  • 3
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.