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 proteomics26
    • Discovery proteomics26
    • MS-based targeted proteomics26
    • MS-based untargeted proteomics26
    • Metaproteomics26
    • Peptide identification26
    • Protein and peptide identification26
    • Proteomics26
    • Quantitative proteomics26
    • Targeted proteomics26
    • Top-down proteomics26
    • Exometabolomics7
    • LC-MS-based metabolomics7
    • MS-based metabolomics7
    • MS-based targeted metabolomics7
    • MS-based untargeted metabolomics7
    • Mass spectrometry-based metabolomics7
    • Metabolites7
    • Metabolome7
    • Metabolomics7
    • Metabonomics7
    • NMR-based metabolomics7
    • Assembly4
    • Proteogenomics4
    • Sequence assembly4
    • Biodiversity3
    • Taxonomy3
    • Biological sequences2
    • Community analysis2
    • Environmental microbiology2
    • Metagenomics2
    • Metatranscriptomics2
    • Microbial ecology2
    • Microbiome2
    • Molecular community analysis2
    • Sequence analysis2
    • Sequence databases2
    • Shotgun metagenomics2
    • DNA variation1
    • Data clean-up1
    • Data cleaning1
    • Data integrity1
    • Data quality1
    • Data quality management1
    • Exomes1
    • Gene and protein families1
    • Gene families1
    • Gene family1
    • Gene system1
    • Genes, gene family or system1
    • Genetic variation1
    • Genome annotation1
    • Genomes1
    • Genomic variation1
    • Genomics1
    • Mutation1
    • Personal genomics1
    • Polymorphism1
    • Protein families1
    • Protein sequence classification1
    • Somatic mutations1
    • Synthetic genomics1
    • Viral genomics1
    • Whole genomes1
    • Show N_FILTERS more
    • Tool
    • Galaxy36
    • MaxQuant4
    • BUSCO3
    • Cardinal3
    • FastQC3
    • MSstats3
    • Workflow4Metabolomics3
    • msConvert3
    • Cutadapt2
    • FASTQE2
    • FreeBayes2
    • Merqury2
    • NanoPlot2
    • QUAST2
    • UniProt2
    • Unipept2
    • metaQuantome2
    • pycoQC2
    • xcms2
    • BLAST1
    • BWA1
    • Biopython1
    • FlashLFQ1
    • GAEVAL1
    • HISAT21
    • InterProScan (EBI)1
    • JBrowse1
    • MALDIquant1
    • MSstatsTMT1
    • Open Babel1
    • STAR1
    • StringTie1
    • WoLF PSORT1
    • bed to protein map1
    • customProDB1
    • diaPASEF1
    • eggNOG-mapper v21
    • funannotate1
    • gffcompare1
    • ggplot21
    • mzToSQLite1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training42
    • Show N_FILTERS more
    • Keyword
    • Proteomics26
    • DDA9
    • Metabolomics7
    • Assembly4
    • microgalaxy4
    • DIA3
    • human3
    • proteogenomics3
    • HeLa2
    • Sequence analysis2
    • biodiversity2
    • label-free2
    • Genome Annotation1
    • Introduction to Galaxy Analyses1
    • ML1
    • SILAC1
    • TMT1
    • Variant Analysis1
    • assembly1
    • cancer1
    • eukaryote1
    • gmod1
    • imaging1
    • jbrowse11
    • mouse1
    • quality control1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner22
    • Intermediate18
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International42
    • Show N_FILTERS more
    • Target audience
    • Students42
    • Show N_FILTERS more
    • Author
    • Melanie Föll11
    • Björn Grüning8
    • Florian Christoph Sigloch7
    • Matthias Fahrner7
    • Pratik Jagtap7
    • Subina Mehta7
    • Timothy J. Griffin7
    • Alexandre Cormier5
    • Anthony Bretaudeau5
    • Laura Leroi5
    • Praveen Kumar5
    • Stéphanie Robin5
    • Erwan Corre4
    • James Johnson4
    • Emma Leith3
    • Marie Crane3
    • Mélanie Petera3
    • Ray Sajulga3
    • Bérénice Batut2
    • Daniel Blankenberg2
    • David Christiany2
    • Florence Combes2
    • Gildas Le Corguillé2
    • Jayadev Joshi2
    • Jean-François Martin2
    • Valentin Loux2
    • Workflow4Metabolomics core team2
    • Yves Vandenbrouck2
    • Anne Fouilloux1
    • Anton Nekrutenko1
    • Cameron Hyde1
    • Christophe Klopp1
    • Clemens Blank1
    • Cécile Canlet1
    • Delphine Lariviere1
    • Helge Hecht1
    • Julia Jakiela1
    • Klemens Fröhlich1
    • Maren Stillger1
    • Maria Doyle1
    • Nick Stoler1
    • Solenne Correard1
    • Show N_FILTERS more
    • Contributor
    • Melanie Föll
    • Alexandre Cormier
    • Saskia Hiltemann514
    • Helena Rasche471
    • Björn Grüning379
    • Bérénice Batut232
    • Nicola Soranzo148
    • Martin Čech114
    • Anthony Bretaudeau101
    • Cristóbal Gallardo95
    • Niall Beard81
    • Wendi Bacon71
    • Nate Coraor62
    • Armin Dadras61
    • Gildas Le Corguillé57
    • Marius van den Beek55
    • William Durand55
    • Mehmet Tekman44
    • Simon Gladman44
    • Teresa Müller43
    • Lucille Delisle42
    • Yvan Le Bras37
    • Pavankumar Videm36
    • Wolfgang Maier35
    • Beatriz Serrano-Solano32
    • Simon Bray28
    • Subina Mehta27
    • Anup Kumar25
    • Donny Vrins23
    • Maria Doyle23
    • Peter van Heusden23
    • Anne Fouilloux20
    • Julia Jakiela20
    • Bazante Sanders19
    • Anton Nekrutenko17
    • Deepti Varshney16
    • Khaled Jum'ah16
    • Mélanie Petera14
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Marie Josse12
    • Matthias Bernt12
    • Pablo Moreno12
    • David López11
    • Delphine Lariviere11
    • Gianmauro Cuccuru11
    • Marisa Loach11
    • Mira Kuntz11
    • Paul Zierep11
    • Stéphanie Robin11
    • Katarzyna Kamieniecka10
    • Dave Clements8
    • John Chilton8
    • Leonid Kostrykin8
    • Mallory Freeberg8
    • Melissa Burke8
    • Verena Moosmann8
    • Daniel Sobral7
    • Hans-Rudolf Hotz7
    • Kaivan Kamali7
    • Morgan Howells7
    • Sabine Österle7
    • Anna Syme6
    • Bert Droesbeke6
    • Christopher Barnett6
    • Clemens Blank6
    • Eija Korpelainen6
    • Ekaterina Polkh6
    • Enis Afgan6
    • Florian Christoph Sigloch6
    • Florian Heyl6
    • Linelle Abueg6
    • Tomas Klingström6
    • Alex Ostrovsky5
    • Alireza Khanteymoori5
    • Clea Siguret5
    • John Davis5
    • Lieven Clement5
    • Wandrille Duchemin5
    • olisand5
    • Catherine Bromhead4
    • Coline Royaux4
    • Dave B.4
    • David Philip Judge4
    • Diana Chiang Jurado4
    • Eli Chadwick4
    • Fotis E. Psomopoulos4
    • Hélène Chiapello4
    • Laura Leroi4
    • Mateusz Kuzak4
    • Phil Reed4
    • Roland Krause4
    • Romane LIBOUBAN4
    • Solenne Correard4
    • Amirhossein Naghsh Nilchi3
    • Andrea Bagnacani3
    • Daniel Faria3
    • Daniel Neves3
    • Daniela Schneider3
    • Engy Nasr3
    • Show N_FILTERS more
    • Resource type
    • e-learning35
    • slides7
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows34
    • Associated Training Datasets33
    • Quarto/RMarkdown Notebook4
    • DDA1
    • 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

Contributors: Alexandre Cormier or Melanie Föll

42 materials found
  • slides

    Genome assembly and assembly QC - Introduction short version

    • beginner
    Sequence assembly Assembly
  • e-learning

    Predicting EI+ mass spectra with QCxMS

    • beginner
    Metabolomics
  • e-learning

    Genome Assembly Quality Control

    •• intermediate
    Sequence assembly Biodiversity Data quality management Assembly assembly biodiversity quality control
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • e-learning

    Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

    ••• advanced
    Proteomics DDA SILAC
  • e-learning

    MaxQuant and MSstats for the analysis of TMT data

    • beginner
    Proteomics DDA TMT
  • e-learning

    Proteogenomics 3: Novel peptide analysis

    •• intermediate
    Proteomics proteogenomics
  • e-learning

    MaxQuant and MSstats for the analysis of label-free data

    •• intermediate
    Proteomics label-free
  • e-learning

    Annotating a protein list identified by LC-MS/MS experiments

    • beginner
    Proteomics DDA human
  • e-learning

    Label-free versus Labelled - How to Choose Your Quantitation Method

    • beginner
    Proteomics DDA
  • 1
  • 2
  • 3
  • 4
  • 5
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.