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 sequences2
    • Community analysis2
    • Environmental microbiology2
    • Metagenomics2
    • Microbial ecology2
    • Microbiome2
    • Molecular community analysis2
    • Sequence analysis2
    • Sequence databases2
    • Shotgun metagenomics2
    • Taxonomy2
    • Assembly1
    • Disease1
    • Epidemiology1
    • Function analysis1
    • Functional analysis1
    • Metatranscriptomics1
    • Pathology1
    • Protein function analysis1
    • Protein function prediction1
    • Public health1
    • Public health and epidemiology1
    • Sequence assembly1
    • Show N_FILTERS more
    • Tool
    • FastQC2
    • Galaxy2
    • MultiQC2
    • taxonomy_krona_chart2
    • ABRicate1
    • BCFtools1
    • BEDTools1
    • BamTools1
    • Bandage1
    • Clair31
    • Clustal 2 (Clustal W, Clustal X)1
    • Cutadapt1
    • FastTree1
    • Flye1
    • GraPhlAn1
    • HUMAnN21
    • KrakenTools1
    • MLST1
    • Medaka1
    • MetaPhlAn1
    • Minimap21
    • NanoPlot1
    • Newick Utilities1
    • SAMtools1
    • SortMeRNA1
    • export2graphlan1
    • fastp1
    • ggplot21
    • humann1
    • kraken21
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Microbiome2
    • microgalaxy2
    • Heatmap1
    • Nanopore data analysis1
    • Pathogens detection1
    • Phylogenetic tree1
    • cyoa1
    • metatranscriptomics1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Engy Nasr
    • Bérénice Batut60
    • Helena Rasche29
    • Björn Grüning20
    • Saskia Hiltemann20
    • Anton Nekrutenko16
    • Anthony Bretaudeau13
    • Fotis E. Psomopoulos11
    • Subina Mehta11
    • Simon Gladman10
    • Delphine Lariviere9
    • Wolfgang Maier8
    • Anika Erxleben7
    • Cristóbal Gallardo7
    • Florian Christoph Sigloch7
    • Nicola Soranzo7
    • Allegra Via6
    • Anna Syme6
    • Dave Clements6
    • ELIXIR Goblet Train the Trainers6
    • Nate Coraor6
    • Patricia Palagi6
    • Paul Zierep6
    • Pratik Jagtap6
    • Raphael Mourad6
    • Clemens Blank5
    • Dechen Bhuming5
    • Emma Leith5
    • Joachim Wolff5
    • Katherine Do5
    • Nadia Goué5
    • Simon Bray5
    • Wendi Bacon5
    • Alex Ostrovsky4
    • Alexandre Cormier4
    • Anne Pajon4
    • Christopher Barnett4
    • Erwan Corre4
    • Laura Leroi4
    • Mallory Freeberg4
    • Mehmet Tekman4
    • Pavankumar Videm4
    • Praveen Kumar4
    • Stéphanie Robin4
    • Timothy J. Griffin4
    • Vivek Bhardwaj4
    • Anup Kumar3
    • Bazante Sanders3
    • Daniel Blankenberg3
    • Fidel Ramirez3
    • Gianmauro Cuccuru3
    • Maria Doyle3
    • Marie Crane3
    • Marius van den Beek3
    • Melanie Föll3
    • Mo Heydarian3
    • Yvan Le Bras3
    • Anne Fouilloux2
    • Brandon Pickett2
    • Clea Siguret2
    • Ekaterina Polkh2
    • Friederike Dündar2
    • Hans-Rudolf Hotz2
    • Khaled Jum'ah2
    • Linelle Abueg2
    • Lisanna Paladin2
    • Lucille Delisle2
    • Martin Čech2
    • Peter van Heusden2
    • Polina Polunina2
    • Ralf Gabriels2
    • Ray Sajulga2
    • Romane LIBOUBAN2
    • Sophia Hampe2
    • Teresa Müller2
    • Tharindu Senapathi2
    • The Carpentries2
    • Toby Hodges2
    • Torsten Seemann2
    • Youri Hoogstrate2
    • Achim Winandi1
    • Anastas Mishev1
    • Andrea Bagnacani1
    • Ava Hoffman1
    • Avans Hogeschool1
    • Aysam Guerler1
    • Beatriz Serrano-Solano1
    • Belinda Phipson1
    • Brigida Gallone1
    • Cameron Hyde1
    • Carolin Leister1
    • Chao Zhang1
    • Christine Hadrossek1
    • Christoph Stritt1
    • Cyril Monjeaud1
    • Daniel Maticzka1
    • Daniela Brites1
    • Daniela Butano1
    • Dannon Baker1
    • David Christiany1
    • Show N_FILTERS more
    • Contributor
    • Bérénice Batut
    • Helena Rasche2
    • Paul Zierep2
    • Saskia Hiltemann2
    • Björn Grüning1
    • Cristóbal Gallardo1
    • Deepti Varshney1
    • Engy Nasr1
    • Hans-Rudolf Hotz1
    • Wolfgang Maier1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows2
    • 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: Engy Nasr

and Contributors: Bérénice Batut

and Resource type: e-learning

2 e-learning materials found
  • e-learning

    Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition

    • beginner
    Metagenomics Microbial ecology Public health and epidemiology Taxonomy Sequence assembly Pathology Sequence analysis Heatmap Microbiome Nanopore data analysis …
  • e-learning

    Metatranscriptomics analysis using microbiome RNA-seq data (short)

    • beginner
    Metagenomics Microbial ecology Metatranscriptomics Taxonomy Function analysis Sequence analysis Microbiome metatranscriptomics 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.