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
    • Bayesian methods1
    • Biostatistics1
    • Bottom-up proteomics1
    • Descriptive statistics1
    • Discovery proteomics1
    • Gaussian processes1
    • Inferential statistics1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Markov processes1
    • Metaproteomics1
    • Multivariate statistics1
    • Peptide identification1
    • Probabilistic graphical model1
    • Probability1
    • Protein and peptide identification1
    • Proteomics1
    • Quantitative proteomics1
    • Statistics1
    • Statistics and probability1
    • Targeted proteomics1
    • Top-down proteomics1
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • MultiQC2
    • BWA1
    • Bwa-mem21
    • DropletUtils1
    • PubMed1
    • SAMtools1
    • SRA Software Toolkit1
    • STAR1
    • fastp1
    • lofreq1
    • snpEff1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training4
    • Show N_FILTERS more
    • Keyword
    • 10x1
    • Introduction to Galaxy Analyses1
    • ML1
    • Proteomics1
    • Single Cell1
    • Statistics and machine learning1
    • cancer1
    • interactive-tools1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner3
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International4
    • Show N_FILTERS more
    • Target audience
    • Students4
    • Show N_FILTERS more
    • Author
    • Daniel Blankenberg
    • Bérénice Batut39
    • Subina Mehta24
    • Saskia Hiltemann21
    • Anthony Bretaudeau15
    • Helena Rasche15
    • James Johnson13
    • Katherine Do13
    • Anton Nekrutenko12
    • Maria Doyle12
    • Anne Fouilloux11
    • Anup Kumar11
    • Mehmet Tekman11
    • Pratik Jagtap11
    • Pavankumar Videm10
    • Yvan Le Bras10
    • Björn Grüning9
    • Cristóbal Gallardo9
    • Delphine Lariviere9
    • Melanie Föll9
    • Timothy J. Griffin8
    • Wendi Bacon8
    • Wolfgang Maier8
    • Kaivan Kamali7
    • Nicola Soranzo7
    • Praveen Kumar7
    • Simon Bray7
    • Anika Erxleben6
    • Anna Syme6
    • Emma Leith6
    • Erwan Corre6
    • Matthias Fahrner6
    • Simon Gladman6
    • Stéphanie Robin6
    • Alex Ostrovsky5
    • Alexandre Cormier5
    • Dechen Bhuming5
    • Joachim Wolff5
    • Julia Jakiela5
    • Laura Leroi5
    • Leonid Kostrykin5
    • Paul Zierep5
    • Ray Sajulga5
    • Valentin Loux5
    • Alireza Khanteymoori4
    • Clemens Blank4
    • Coline Royaux4
    • Dave Clements4
    • Diana Chiang Jurado4
    • Florian Christoph Sigloch4
    • Florian Heyl4
    • Helge Hecht4
    • Hélène Chiapello4
    • Katarzyna Kamieniecka4
    • Khaled Jum'ah4
    • Krzysztof Poterlowicz4
    • Lucille Delisle4
    • Mallory Freeberg4
    • Mélanie Petera4
    • Vivek Bhardwaj4
    • Bazante Sanders3
    • Beatriz Serrano-Solano3
    • Belinda Phipson3
    • Christopher Barnett3
    • Engy Nasr3
    • Fidel Ramirez3
    • Gildas Le Corguillé3
    • Jean-François Martin3
    • Marie Crane3
    • Marisa Loach3
    • Miguel Roncoroni3
    • Mo Heydarian3
    • Morgan Howells3
    • Nadia Goué3
    • Workflow4Metabolomics core team3
    • Anne Pajon2
    • Brandon Pickett2
    • Chao Zhang2
    • Christoph Stritt2
    • Daniela Brites2
    • Deepti Varshney2
    • Ekaterina Polkh2
    • Esteban Perez-Wohlfeil2
    • Fabio Cumbo2
    • Fotis E. Psomopoulos2
    • Friederike Dündar2
    • Galo A. Goig2
    • Hans-Rudolf Hotz2
    • Harriet Dashnow2
    • Kristina Gomoryova2
    • Leily Rabbani2
    • Linelle Abueg2
    • Lisanna Paladin2
    • Mateo Boudet2
    • Nathan Dunn2
    • Olivier Norvez2
    • Peter van Heusden2
    • Polina Polunina2
    • Riccardo Massei2
    • Romane LIBOUBAN2
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning4
    • Helena Rasche4
    • Saskia Hiltemann4
    • Bérénice Batut2
    • Mehmet Tekman2
    • Anton Nekrutenko1
    • Armin Dadras1
    • Cristóbal Gallardo1
    • Donny Vrins1
    • Hans-Rudolf Hotz1
    • Jayadev Joshi1
    • John Davis1
    • Martin Čech1
    • Melanie Föll1
    • Niall Beard1
    • Nicola Soranzo1
    • Pavankumar Videm1
    • Subina Mehta1
    • Teresa Müller1
    • Wendi Bacon1
    • William Durand1
    • dlal-group1
    • Show N_FILTERS more
    • Resource type
    • e-learning4
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets
    • Associated Workflows6
    • 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

Tools: Galaxy

and Authors: Daniel Blankenberg

and Related resources: Associated Training Datasets

4 materials found
  • e-learning

    Text-mining with the SimText toolset

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

    Pre-processing of 10X Single-Cell RNA Datasets

    • beginner
    10x Single Cell
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • e-learning

    NGS data logistics

    • beginner
    Introduction to Galaxy Analyses
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.