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
    • Content management2
    • Data management2
    • Database management2
    • Document management2
    • Environmental microbiology2
    • File management2
    • Informatics2
    • Information management2
    • Information science2
    • Knowledge management2
    • Metadata management2
    • Metagenomics2
    • Metatranscriptomics2
    • Microbial ecology2
    • Microbiome2
    • Molecular community analysis2
    • Record management2
    • Research data management (RDM)2
    • Shotgun metagenomics2
    • Show N_FILTERS more
    • Tool
    • Galaxy39
    • MaxQuant6
    • msConvert6
    • MSstats4
    • UniProt4
    • Biopython3
    • FreeBayes3
    • HISAT23
    • StringTie3
    • Unipept3
    • bed to protein map3
    • customProDB3
    • gffcompare3
    • BLAST2
    • metaQuantome2
    • Cardinal1
    • EncyclopeDIA1
    • FlashLFQ1
    • MSstatsTMT1
    • MetaNovo1
    • OptiType1
    • STAR1
    • Seq2HLA1
    • The Immune Epitope Database (IEDB)1
    • WoLF PSORT1
    • diaPASEF1
    • ggplot21
    • multiGSEA1
    • mzToSQLite1
    • scp1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training60
    • ELIXIR Portugal3
    • Show N_FILTERS more
    • Keyword
    • Proteomics
    • git-gat
    • training64
    • Galaxy Server administration58
    • jupyter-notebook55
    • Foundations of Data Science51
    • biodiversity42
    • data management41
    • Single Cell40
    • microgalaxy39
    • Statistics and machine learning35
    • Transcriptomics29
    • FAIR28
    • Contributing to the Galaxy Training Material27
    • Ecology27
    • Genome Annotation27
    • 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
    • Teaching and Hosting Galaxy training17
    • elixir17
    • work-in-progress17
    • Python16
    • Roslin Institute16
    • Sequence analysis16
    • life-sciences16
    • reproducibility16
    • Climate15
    • Imaging15
    • Ontologies15
    • fair15
    • jbrowse115
    • 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
    • Beginner44
    • Intermediate17
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International62
    • License Not Specified1
    • Show N_FILTERS more
    • Target audience
    • Students42
    • Galaxy Administrators18
    • Academia/ Research Institution3
    • Healthcare3
    • Industry3
    • Non-Profit Organisation3
    • Show N_FILTERS more
    • Author
    • Subina Mehta21
    • Helena Rasche13
    • James Johnson13
    • Katherine Do13
    • Björn Grüning11
    • Melanie Föll8
    • Pratik Jagtap8
    • Timothy J. Griffin8
    • Florian Christoph Sigloch7
    • Matthias Fahrner7
    • Nate Coraor6
    • Dechen Bhuming5
    • Praveen Kumar5
    • Emma Leith4
    • Mira Kuntz4
    • Simon Gladman4
    • Marie Crane3
    • Marius van den Beek3
    • Ray Sajulga3
    • The Gulbenkian Training Programme in Bioinformatics3
    • Daniel Blankenberg2
    • David Christiany2
    • Florence Combes2
    • Jayadev Joshi2
    • Lucille Delisle2
    • Matthias Bernt2
    • Saskia Hiltemann2
    • Valentin Loux2
    • Yves Vandenbrouck2
    • Clemens Blank1
    • Delphine Lariviere1
    • Gianmauro Cuccuru1
    • Helge Hecht1
    • Klemens Fröhlich1
    • Kristina Gomoryova1
    • Laila Los1
    • Martin Čech1
    • Nicola Soranzo1
    • Nuwan Goonasekera1
    • Thorben Stehling1
    • Torfinn Nome1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann50
    • Björn Grüning46
    • Helena Rasche42
    • Bérénice Batut28
    • Melanie Föll26
    • Nicola Soranzo26
    • Subina Mehta26
    • Martin Čech24
    • Nate Coraor18
    • Marius van den Beek16
    • Armin Dadras15
    • Lucille Delisle15
    • Pratik Jagtap13
    • Simon Gladman13
    • Timothy J. Griffin13
    • Niall Beard9
    • Gianmauro Cuccuru8
    • Mira Kuntz8
    • Anthony Bretaudeau6
    • Florian Christoph Sigloch6
    • William Durand5
    • Clemens Blank4
    • Tomas Klingström4
    • Mallory Freeberg3
    • Wolfgang Maier3
    • Anne Fouilloux2
    • Catherine Bromhead2
    • Edwin den Haas2
    • Enis Afgan2
    • Florence Combes2
    • Harald Barsnes2
    • Jayadev Joshi2
    • Lennart Martens2
    • Lieven Clement2
    • Mélanie Petera2
    • Nuwan Goonasekera2
    • Pavankumar Videm2
    • Torfinn Nome2
    • Anton Nekrutenko1
    • Cristóbal Gallardo1
    • Dave B.1
    • David Bouyssié1
    • Gildas Le Corguillé1
    • Helge Hecht1
    • James Johnson1
    • John Chilton1
    • Kristina Gomoryova1
    • Kweyakie Afi Blebo1
    • Marc Vaudel1
    • Matthias Fahrner1
    • Peter van Heusden1
    • Tunc Kayikcioglu1
    • Veit Schwämmle1
    • Vlad Visan1
    • Yvan Le Bras1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning59
    • Documentation3
    • Exercise3
    • Handout3
    • Scripts3
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets45
    • Associated Workflows39
    • Quarto/RMarkdown Notebook20
    • git-gat18
    • ansible13
    • jobs5
    • monitoring3
    • deploying2
    • DDA1
    • beacon1
    • broken1
    • data1
    • features1
    • ga4gh1
    • storage1
    • tools1
    • 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: git-gat or Proteomics

63 materials found
  • 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
  • e-learning

    Neoantigen 7: IEDB binding PepQuery Validated Neopeptides

    • beginner
    Proteomics label-free
  • e-learning

    Neoantigen 3: Database merge and FragPipe discovery

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