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
    • Bottom-up proteomics42
    • Discovery proteomics42
    • MS-based targeted proteomics42
    • MS-based untargeted proteomics42
    • Metaproteomics42
    • Peptide identification42
    • Protein and peptide identification42
    • Proteomics42
    • Quantitative proteomics42
    • Targeted proteomics42
    • Top-down proteomics42
    • Proteogenomics4
    • Taxonomy3
    • Biodiversity2
    • Community analysis2
    • Environmental microbiology2
    • Metagenomics2
    • Metatranscriptomics2
    • Microbial ecology2
    • Microbiome2
    • Molecular community analysis2
    • Shotgun metagenomics2
    • Show N_FILTERS more
    • Tool
    • Galaxy41
    • MaxQuant6
    • msConvert6
    • MSstats4
    • UniProt4
    • Biopython3
    • FreeBayes3
    • HISAT23
    • StringTie3
    • Unipept3
    • bed to protein map3
    • customProDB3
    • gffcompare3
    • BLAST2
    • metaQuantome2
    • Cardinal1
    • EncyclopeDIA1
    • FlashLFQ1
    • MSstatsTMT1
    • MetaNovo1
    • OptiType1
    • RStudio1
    • STAR1
    • Seq2HLA1
    • The Immune Epitope Database (IEDB)1
    • WoLF PSORT1
    • diaPASEF1
    • ggplot21
    • multiGSEA1
    • mzToSQLite1
    • scp1
    • seqtk1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training69
    • ELIXIR Portugal3
    • Show N_FILTERS more
    • Keyword
    • Proteomics
    • Contributing to the Galaxy Training Material
    • training64
    • Galaxy Server administration58
    • jupyter-notebook55
    • Foundations of Data Science51
    • biodiversity43
    • data management41
    • Single Cell40
    • microgalaxy39
    • Statistics and machine learning35
    • Transcriptomics29
    • FAIR28
    • Genome Annotation28
    • Ecology27
    • Rare Diseases & Research27
    • Using Galaxy and Managing your Data27
    • Bioinformatics25
    • Development in Galaxy24
    • Assembly22
    • Data analysis20
    • FAIR data20
    • ansible20
    • Microbiome19
    • data stewardship19
    • genes and genomes19
    • interactive-tools19
    • DNA RNA18
    • FAIR Data, Workflows, and Research18
    • Variant Analysis18
    • git-gat18
    • Teaching and Hosting Galaxy training17
    • elixir17
    • work-in-progress17
    • Python16
    • Roslin Institute16
    • Sequence analysis16
    • jbrowse116
    • life-sciences16
    • reproducibility16
    • Climate15
    • Imaging15
    • Ontologies15
    • fair15
    • transcriptomics15
    • Programming14
    • earth-system14
    • gmod14
    • Data management planning13
    • Babraham Institute13
    • Epigenetics13
    • Introduction to Galaxy Analyses13
    • Proteins13
    • R13
    • Shell13
    • data visualisation13
    • medicine and health13
    • next generation sequencing13
    • programming13
    • prokaryote13
    • EeLP12
    • Metabolomics12
    • eLearning12
    • health-informatics12
    • paper-replication12
    • Chemical biology11
    • Data management plan11
    • Europe PMC11
    • Git11
    • Introduction bioinformatics11
    • MIGHTS11
    • Metadata11
    • ai-ml11
    • biostatistics11
    • cyoa11
    • plants11
    • workflows11
    • Evolution10
    • Extras10
    • Gene Expression10
    • HPC10
    • Introduction10
    • Literature search10
    • Phylogenetics10
    • covid1910
    • eukaryote10
    • label-free10
    • mark ibberson group10
    • services and resources10
    • Computational chemistry9
    • DDA9
    • Genomics9
    • Python biologists9
    • Standards9
    • bioinformatics9
    • computer-science9
    • machine learning9
    • metadata9
    • ocean9
    • one-health9
    • Show N_FILTERS more
    • Difficulty level
    • Beginner51
    • Intermediate17
    • Advanced4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International71
    • License Not Specified1
    • Show N_FILTERS more
    • Target audience
    • Students42
    • Instructors27
    • Academia/ Research Institution3
    • Healthcare3
    • Industry3
    • Non-Profit Organisation3
    • Show N_FILTERS more
    • Author
    • Subina Mehta21
    • Bérénice Batut15
    • James Johnson13
    • Katherine Do13
    • Björn Grüning12
    • Helena Rasche11
    • Melanie Föll8
    • Pratik Jagtap8
    • Saskia Hiltemann8
    • Timothy J. Griffin8
    • Florian Christoph Sigloch7
    • Matthias Fahrner7
    • Dechen Bhuming5
    • Praveen Kumar5
    • Emma Leith4
    • Marie Crane3
    • Ray Sajulga3
    • The Gulbenkian Training Programme in Bioinformatics3
    • Allegra Via2
    • Cyril Monjeaud2
    • Daniel Blankenberg2
    • David Christiany2
    • ELIXIR Goblet Train the Trainers2
    • Florence Combes2
    • Fotis E. Psomopoulos2
    • Jayadev Joshi2
    • Patricia Palagi2
    • Valentin Loux2
    • Wendi Bacon2
    • Yves Vandenbrouck2
    • Achim Winandi1
    • Anastas Mishev1
    • Carolin Leister1
    • Christine Hadrossek1
    • Clemens Blank1
    • Cristóbal Gallardo1
    • Delphine Lariviere1
    • Dominique Green1
    • Helge Hecht1
    • Irakleitos Souyioultzoglou1
    • Katarzyna Kamieniecka1
    • Klemens Fröhlich1
    • Kristina Gomoryova1
    • Krzysztof Poterlowicz1
    • Lucille Delisle1
    • Matthias Bernt1
    • Sonja Filiposka1
    • Thorben Stehling1
    • Vojdan Kjorveziroski1
    • Аrnaud Gingold1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann55
    • Björn Grüning52
    • Helena Rasche46
    • Bérénice Batut36
    • Nicola Soranzo27
    • Melanie Föll26
    • Subina Mehta26
    • Niall Beard19
    • Martin Čech17
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Armin Dadras12
    • William Durand10
    • Wendi Bacon9
    • Cristóbal Gallardo6
    • Florian Christoph Sigloch6
    • Anthony Bretaudeau4
    • Clemens Blank4
    • Simon Gladman4
    • Lucille Delisle3
    • Mallory Freeberg3
    • Pavankumar Videm3
    • Simon Bray3
    • Wolfgang Maier3
    • Florence Combes2
    • Gildas Le Corguillé2
    • Harald Barsnes2
    • Jayadev Joshi2
    • Julia Jakiela2
    • Lennart Martens2
    • Lieven Clement2
    • Marius van den Beek2
    • Phil Reed2
    • Teresa Müller2
    • Anastas Mishev1
    • Andrea Bagnacani1
    • Anton Nekrutenko1
    • Bazante Sanders1
    • Bert Droesbeke1
    • David Bouyssié1
    • Donny Vrins1
    • Helge Hecht1
    • James Johnson1
    • Kristina Gomoryova1
    • Linelle Abueg1
    • Marc Vaudel1
    • Marie Josse1
    • Marisa Loach1
    • Matthias Fahrner1
    • Mehmet Tekman1
    • Melissa Burke1
    • Mélanie Petera1
    • Nate Coraor1
    • Pablo Moreno1
    • Peter van Heusden1
    • Rahmot Afolabi1
    • Veit Schwämmle1
    • Yvan Le Bras1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning65
    • slides4
    • Documentation3
    • Exercise3
    • Handout3
    • Scripts3
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows40
    • Associated Training Datasets38
    • Quarto/RMarkdown Notebook21
    • DDA1
    • fair1
    • gtn1
    • training1
    • Show N_FILTERS more
    • Node
    • Portugal3
    • 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: Proteomics or Contributing to the Galaxy Training Material

72 materials found
  • e-learning

    Preview the GTN website as you edit your training material

    • beginner
    Choose your own Adventure CodeSpaces Command-line Contributing to the Galaxy Training Material GitPod
  • e-learning

    Contributing to the Galaxy Training Network with GitHub

    • beginner
    Contributing to the Galaxy Training Material
  • e-learning

    Multiomics data analysis using MultiGSEA

    • beginner
    Proteomics metabolomics multi-omics proteomics transcriptomics
  • e-learning

    Neoantigen 2: Non-Reference-Database-Generation

    • beginner
    Proteomics label-free
  • e-learning

    Single Cell Proteomics data analysis with bioconductor-scp

    • beginner
    Proteomics
  • e-learning

    Neoantigen 1: Fusion-Database-Generation

    • beginner
    Proteomics label-free
  • e-learning

    Neoantigen 4: PepQuery2 Verification

    • beginner
    Proteomics label-free
  • e-learning

    Neoantigen 2: Non-normal-Database-Generation

    • beginner
    Proteomics label-free
  • e-learning

    Neoantigen 6: Predicting HLA Binding

    • beginner
    Proteomics label-free
  • e-learning

    Neoantigen 5: Variant Annotation

    • beginner
    Proteomics label-free
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
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.