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
    • Protein and peptide identification
    • Exomes40
    • Genome annotation40
    • Genomes40
    • Genomics40
    • Personal genomics40
    • Synthetic genomics40
    • Viral genomics40
    • Whole genomes40
    • Bottom-up proteomics39
    • Discovery proteomics39
    • MS-based targeted proteomics39
    • MS-based untargeted proteomics39
    • Metaproteomics39
    • Peptide identification39
    • Proteomics39
    • Quantitative proteomics39
    • Targeted proteomics39
    • Top-down proteomics39
    • Biological sequences30
    • Sequence analysis30
    • Sequence databases30
    • Computational ecology27
    • Ecoinformatics27
    • Ecological informatics27
    • Ecology27
    • Ecosystem science27
    • Assembly23
    • Sequence assembly23
    • Antimicrobial stewardship22
    • Medical microbiology22
    • Microbial genetics22
    • Microbial physiology22
    • Microbial surveillance22
    • Microbiological surveillance22
    • Microbiology22
    • Molecular infection biology22
    • Molecular microbiology22
    • Comparative transcriptomics20
    • Transcriptome20
    • Transcriptomics20
    • Community analysis19
    • Environmental microbiology19
    • Microbial ecology19
    • Microbiome19
    • Molecular community analysis19
    • Bayesian methods18
    • Biostatistics18
    • Descriptive statistics18
    • Gaussian processes18
    • Inferential statistics18
    • Markov processes18
    • Metagenomics18
    • Multivariate statistics18
    • Probabilistic graphical model18
    • Probability18
    • Shotgun metagenomics18
    • Statistics18
    • Statistics and probability18
    • DNA variation16
    • Genetic variation16
    • Genomic variation16
    • Mutation16
    • Polymorphism16
    • Somatic mutations16
    • Taxonomy13
    • Biodiversity12
    • Diffraction experiment11
    • Imaging11
    • Microscopy11
    • Microscopy imaging11
    • Optical super resolution microscopy11
    • Photonic force microscopy11
    • Photonic microscopy11
    • Exometabolomics9
    • LC-MS-based metabolomics9
    • MS-based metabolomics9
    • MS-based targeted metabolomics9
    • MS-based untargeted metabolomics9
    • Mass spectrometry-based metabolomics9
    • Metabolites9
    • Metabolome9
    • Metabolomics9
    • Metabonomics9
    • NMR-based metabolomics9
    • Epigenomics8
    • Computational chemistry7
    • De novo genome sequencing6
    • Epidemiology6
    • Genome sequencing6
    • Public health6
    • Public health and epidemiology6
    • WGS6
    • Whole genome resequencing6
    • Whole genome sequencing6
    • Algorithms5
    • Communicable disease5
    • Computer programming5
    • DNA metabarcoding5
    • Data structures5
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • 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 Training39
    • Show N_FILTERS more
    • Keyword
    • Proteomics39
    • label-free10
    • DDA8
    • label-TMT115
    • DIA4
    • microgalaxy4
    • human3
    • proteogenomics3
    • HeLa2
    • ML1
    • SILAC1
    • TMT1
    • cancer1
    • imaging1
    • metabolomics1
    • mouse1
    • multi-omics1
    • proteomics1
    • transcriptomics1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner24
    • Intermediate13
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International39
    • Show N_FILTERS more
    • Target audience
    • Students39
    • Show N_FILTERS more
    • Author
    • Subina Mehta21
    • James Johnson13
    • Katherine Do13
    • Pratik Jagtap8
    • Timothy J. Griffin8
    • Matthias Fahrner7
    • Melanie Föll7
    • Björn Grüning6
    • Dechen Bhuming5
    • Florian Christoph Sigloch5
    • Praveen Kumar5
    • Emma Leith4
    • Marie Crane3
    • Ray Sajulga3
    • Daniel Blankenberg2
    • David Christiany2
    • Florence Combes2
    • Jayadev Joshi2
    • Valentin Loux2
    • Yves Vandenbrouck2
    • Clemens Blank1
    • Delphine Lariviere1
    • Helge Hecht1
    • Klemens Fröhlich1
    • Kristina Gomoryova1
    • Matthias Bernt1
    • Thorben Stehling1
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning29
    • Saskia Hiltemann29
    • Subina Mehta24
    • Melanie Föll23
    • Helena Rasche21
    • Bérénice Batut16
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Nicola Soranzo10
    • Armin Dadras6
    • Martin Čech6
    • Niall Beard6
    • Florian Christoph Sigloch4
    • William Durand4
    • Clemens Blank3
    • Mallory Freeberg3
    • Florence Combes2
    • Jayadev Joshi2
    • Pavankumar Videm2
    • Anthony Bretaudeau1
    • Helge Hecht1
    • James Johnson1
    • Kristina Gomoryova1
    • Lucille Delisle1
    • Matthias Fahrner1
    • Mélanie Petera1
    • Wolfgang Maier1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows38
    • Associated Training Datasets35
    • 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

Scientific topics: Protein and peptide identification

and Tools: Galaxy

and Resource type: e-learning

39 e-learning 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
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.