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
    • Proteogenomics4
    • Taxonomy4
    • Community analysis3
    • Environmental microbiology3
    • Metagenomics3
    • Microbial ecology3
    • Microbiome3
    • Molecular community analysis3
    • Shotgun metagenomics3
    • Biodiversity2
    • Metatranscriptomics2
    • Assembly1
    • Biological sequences1
    • Comparative transcriptomics1
    • Disease1
    • Epidemiology1
    • Epigenomics1
    • Pathology1
    • Public health1
    • Public health and epidemiology1
    • Sequence analysis1
    • Sequence assembly1
    • Sequence databases1
    • Transcriptome1
    • Transcriptomics1
    • Show N_FILTERS more
    • Tool
    • Galaxy36
    • MaxQuant4
    • Cardinal3
    • MSstats3
    • MultiQC3
    • SAMtools3
    • Workflow4Metabolomics3
    • ggplot23
    • msConvert3
    • BEDTools2
    • STAR2
    • UniProt2
    • Unipept2
    • metaQuantome2
    • xcms2
    • ABRicate1
    • BCFtools1
    • BLAST1
    • BamTools1
    • Bandage1
    • Biopython1
    • Clair31
    • Clustal 2 (Clustal W, Clustal X)1
    • Cutadapt1
    • DESeq21
    • DeepTools1
    • DropletUtils1
    • Falco1
    • FastQC1
    • FastTree1
    • FeatureCounts1
    • FlashLFQ1
    • Flye1
    • FreeBayes1
    • GOseq1
    • HISAT21
    • KrakenTools1
    • MALDIquant1
    • MLST1
    • MSstatsTMT1
    • Medaka1
    • Minimap21
    • NanoPlot1
    • Newick Utilities1
    • Open Babel1
    • R1
    • RSeQC1
    • SCANPY1
    • SeqCode1
    • StringTie1
    • WoLF PSORT1
    • bed to protein map1
    • bx-python1
    • customProDB1
    • diaPASEF1
    • fastp1
    • gffcompare1
    • kraken21
    • mzToSQLite1
    • pathview1
    • pyGenomeTracks1
    • taxonomy_krona_chart1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training41
    • Show N_FILTERS more
    • Keyword
    • Proteomics26
    • DDA9
    • Metabolomics7
    • microgalaxy5
    • DIA3
    • human3
    • proteogenomics3
    • 10x2
    • HeLa2
    • Introduction to Galaxy Analyses2
    • Single Cell2
    • cyoa2
    • label-free2
    • Epigenetics1
    • Galaxy Server administration1
    • Heatmap1
    • ML1
    • Microbiome1
    • Nanopore data analysis1
    • Pathogens detection1
    • Phylogenetic tree1
    • QC1
    • SILAC1
    • TMT1
    • Transcriptomics1
    • bulk1
    • cancer1
    • collections1
    • deploying1
    • drosophila1
    • imaging1
    • maintenance1
    • mouse1
    • rna-seq1
    • survey1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner23
    • Intermediate16
    • Advanced2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International41
    • Show N_FILTERS more
    • Target audience
    • Students40
    • Galaxy Administrators1
    • Show N_FILTERS more
    • Author
    • Melanie Föll11
    • Björn Grüning9
    • Florian Christoph Sigloch7
    • Matthias Fahrner7
    • Pratik Jagtap7
    • Subina Mehta7
    • Timothy J. Griffin7
    • Praveen Kumar5
    • Bérénice Batut4
    • James Johnson4
    • Clemens Blank3
    • Daniel Blankenberg3
    • Emma Leith3
    • Marie Crane3
    • Mélanie Petera3
    • Pavankumar Videm3
    • Ray Sajulga3
    • David Christiany2
    • Florence Combes2
    • Gildas Le Corguillé2
    • Hans-Rudolf Hotz2
    • Jayadev Joshi2
    • Jean-François Martin2
    • Lucille Delisle2
    • Maria Doyle2
    • Mehmet Tekman2
    • Nicola Soranzo2
    • Valentin Loux2
    • Workflow4Metabolomics core team2
    • Yves Vandenbrouck2
    • Anika Erxleben1
    • Anne Fouilloux1
    • Anne Pajon1
    • Cécile Canlet1
    • Delphine Lariviere1
    • Diana Chiang Jurado1
    • Dilmurat Yusuf1
    • Engy Nasr1
    • Florian Heyl1
    • Helena Rasche1
    • Helge Hecht1
    • Julia Jakiela1
    • Klemens Fröhlich1
    • Mallory Freeberg1
    • Maren Stillger1
    • Mo Heydarian1
    • Paul Zierep1
    • Peter van Heusden1
    • Sarah Peter1
    • Vlad Visan1
    • Show N_FILTERS more
    • Contributor
    • Melanie Föll
    • Hans-Rudolf Hotz
    • Saskia Hiltemann519
    • Helena Rasche466
    • Björn Grüning381
    • Bérénice Batut228
    • Nicola Soranzo148
    • Martin Čech115
    • Anthony Bretaudeau101
    • Cristóbal Gallardo95
    • Niall Beard81
    • Wendi Bacon71
    • Nate Coraor63
    • Armin Dadras61
    • Gildas Le Corguillé57
    • Marius van den Beek55
    • William Durand55
    • Simon Gladman45
    • Mehmet Tekman44
    • Teresa Müller44
    • Lucille Delisle42
    • Yvan Le Bras37
    • Pavankumar Videm36
    • Wolfgang Maier35
    • Beatriz Serrano-Solano32
    • Simon Bray28
    • Anup Kumar25
    • Subina Mehta25
    • Donny Vrins24
    • 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
    • John Chilton9
    • Alexandre Cormier8
    • Dave Clements8
    • Leonid Kostrykin8
    • Mallory Freeberg8
    • Melissa Burke8
    • Verena Moosmann8
    • Daniel Sobral7
    • Kaivan Kamali7
    • Katherine Do7
    • Morgan Howells7
    • Sabine Österle7
    • Tomas Klingström7
    • Anna Syme6
    • Bert Droesbeke6
    • Christopher Barnett6
    • Clemens Blank6
    • Eija Korpelainen6
    • Ekaterina Polkh6
    • Enis Afgan6
    • Florian Christoph Sigloch6
    • Florian Heyl6
    • Linelle Abueg6
    • Alex Ostrovsky5
    • Alireza Khanteymoori5
    • Clea Siguret5
    • Daniela Schneider5
    • 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
    • Show N_FILTERS more
    • Resource type
    • e-learning37
    • slides4
    • 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: Hans-Rudolf Hotz or Melanie Föll

41 materials found
  • e-learning

    Predicting EI+ mass spectra with QCxMS

    • beginner
    Metabolomics
  • slides

    Galaxy Administrator Time Burden and Technology Usage

    • beginner
    Galaxy Server administration deploying maintenance survey
  • e-learning

    Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition

    • beginner
    Metagenomics Microbial ecology Public health and epidemiology Taxonomy Sequence assembly Pathology Sequence analysis Heatmap Microbiome Nanopore data analysis …
  • e-learning

    Pre-processing of 10X Single-Cell RNA Datasets

    • beginner
    10x Single Cell
  • e-learning

    MaxQuant and MSstats for the analysis of label-free data

    •• intermediate
    Proteomics label-free
  • e-learning

    Biomarker candidate identification

    • beginner
    Proteomics DDA human
  • e-learning

    Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

    ••• advanced
    Proteomics DDA SILAC
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • 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.