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 proteomics
    • Discovery proteomics33
    • Exomes33
    • Genome annotation33
    • Genomes33
    • Genomics33
    • MS-based targeted proteomics33
    • MS-based untargeted proteomics33
    • Metaproteomics33
    • Peptide identification33
    • Personal genomics33
    • Protein and peptide identification33
    • Proteomics33
    • Quantitative proteomics33
    • Synthetic genomics33
    • Targeted proteomics33
    • Top-down proteomics33
    • Viral genomics33
    • Whole genomes33
    • Algorithms28
    • Computer programming28
    • Data structures28
    • Programming languages28
    • Software development28
    • Software engineering28
    • Bayesian methods27
    • Biostatistics27
    • Descriptive statistics27
    • Gaussian processes27
    • Inferential statistics27
    • Markov processes27
    • Multivariate statistics27
    • Probabilistic graphical model27
    • Probability27
    • Statistics27
    • Statistics and probability27
    • Assembly22
    • Sequence assembly22
    • Biological sequences21
    • Sequence analysis21
    • Sequence databases21
    • Comparative transcriptomics20
    • Transcriptome20
    • Transcriptomics20
    • Antimicrobial stewardship17
    • Medical microbiology17
    • Microbial genetics17
    • Microbial physiology17
    • Microbial surveillance17
    • Microbiological surveillance17
    • Microbiology17
    • Molecular infection biology17
    • Molecular microbiology17
    • Community analysis15
    • DNA variation15
    • Environmental microbiology15
    • Genetic variation15
    • Genomic variation15
    • Microbial ecology15
    • Microbiome15
    • Molecular community analysis15
    • Mutation15
    • Polymorphism15
    • Somatic mutations15
    • Computational ecology14
    • Ecoinformatics14
    • Ecological informatics14
    • Ecology14
    • Ecosystem science14
    • Metagenomics14
    • Shotgun metagenomics14
    • Epigenomics12
    • Biodiversity10
    • Diffraction experiment9
    • Imaging9
    • Microscopy9
    • Microscopy imaging9
    • Optical super resolution microscopy9
    • Photonic force microscopy9
    • Photonic microscopy9
    • Taxonomy9
    • Computational chemistry7
    • Epidemiology6
    • Exometabolomics6
    • LC-MS-based metabolomics6
    • MS-based metabolomics6
    • MS-based targeted metabolomics6
    • MS-based untargeted metabolomics6
    • Mass spectrometry-based metabolomics6
    • Metabolites6
    • Metabolome6
    • Metabolomics6
    • Metabonomics6
    • NMR-based metabolomics6
    • Public health6
    • Public health and epidemiology6
    • Communicable disease5
    • De novo genome sequencing5
    • Genome sequencing5
    • Infectious disease5
    • Show N_FILTERS more
    • Tool
    • Galaxy29
    • MaxQuant6
    • msConvert5
    • MSstats4
    • UniProt4
    • Unipept3
    • metaQuantome2
    • BLAST1
    • Biopython1
    • Cardinal1
    • EncyclopeDIA1
    • FlashLFQ1
    • FreeBayes1
    • HISAT21
    • MSstatsTMT1
    • MetaNovo1
    • StringTie1
    • WoLF PSORT1
    • bed to protein map1
    • customProDB1
    • diaPASEF1
    • gffcompare1
    • ggplot21
    • multiGSEA1
    • mzToSQLite1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training32
    • ELIXIR: The Czech Republic Node1
    • Show N_FILTERS more
    • Keyword
    • Proteomics32
    • DDA8
    • label-TMT115
    • DIA4
    • microgalaxy4
    • proteogenomics3
    • HeLa2
    • human2
    • label-free2
    • proteomics2
    • EeLP1
    • Galaxy1
    • ML1
    • SILAC1
    • TMT1
    • cancer1
    • eLearning1
    • imaging1
    • metabolomics1
    • mouse1
    • multi-omics1
    • training1
    • transcriptomics1
    • work-in-progress1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner16
    • Intermediate14
    • Advanced2
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International32
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Students32
    • PhD Students1
    • Researchers1
    • life scientists1
    • Show N_FILTERS more
    • Author
    • Subina Mehta13
    • Björn Grüning9
    • Matthias Fahrner8
    • Melanie Föll8
    • Pratik Jagtap8
    • Timothy J. Griffin8
    • Florian Christoph Sigloch7
    • Dechen Bhuming5
    • James Johnson5
    • Katherine Do5
    • Praveen Kumar5
    • Emma Leith4
    • Marie Crane3
    • Ray Sajulga3
    • Daniel Blankenberg2
    • Jayadev Joshi2
    • Andrea Argentini1
    • Clemens Blank1
    • David Christiany1
    • Delphine Lariviere1
    • Florence Combes1
    • Frederik Coppens1
    • Hana Pergl Sustkova1
    • Klemens Fröhlich1
    • Marek Vrbacky1
    • Martin Hubalek1
    • Matthias Bernt1
    • Melanie Foell1
    • Pavel Dvorak1
    • Thorben Stehling1
    • Valentin Loux1
    • Yves Vandenbrouck1
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning
    • Saskia Hiltemann39
    • Subina Mehta29
    • Melanie Föll26
    • Helena Rasche24
    • Bérénice Batut19
    • Nicola Soranzo13
    • Pratik Jagtap13
    • Timothy J. Griffin13
    • Armin Dadras8
    • Martin Čech8
    • Niall Beard8
    • Katherine Do7
    • Florian Christoph Sigloch6
    • William Durand5
    • Clemens Blank4
    • Mallory Freeberg3
    • Pavankumar Videm3
    • Florence Combes2
    • Jayadev Joshi2
    • Matthias Fahrner2
    • Amirhossein Naghsh Nilchi1
    • Andrea Argentini1
    • Anthony Bretaudeau1
    • Anton Nekrutenko1
    • Charlotte Soneson1
    • Cristóbal Gallardo1
    • Frederik Coppens1
    • Hana Pergl Sustkova1
    • Helge Hecht1
    • James Johnson1
    • Janick Mathys1
    • John "Scooter" Morris1
    • Koen Van den Berge1
    • Kristina Gomoryova1
    • Laurent Gatto1
    • Lieven Clement1
    • Lucille Delisle1
    • Marek Vrbacky1
    • Martin Hubalek1
    • Martin Morgan1
    • Melanie Foell1
    • Mélanie Petera1
    • Oliver Crook1
    • Pavel Dvorak1
    • Wolfgang Maier1
    • npinter1
    • Show N_FILTERS more
    • Resource type
    • e-learning31
    • Slides1
    • Training materials1
    • course materials1
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows30
    • Associated Training Datasets27
    • Quarto/RMarkdown Notebook2
    • DDA1
    • Show N_FILTERS more
    • Node
    • Czech Republic1
    • Germany1
    • 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

Scientific topics: Bottom-up proteomics

and Contributors: Björn Grüning

33 materials found
  • e-learning

    Multiomics data analysis using MultiGSEA

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

    Proteogenomics 3: Novel peptide analysis

    •• intermediate
    Proteomics proteogenomics
  • e-learning

    Clinical Metaproteomics 4: Quantitation

    • beginner
    Proteomics label-TMT11
  • e-learning

    Machine Learning Modeling of Anticancer Peptides

    •• intermediate
    Proteomics ML cancer
  • 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

    Clinical Metaproteomics 5: Data Interpretation

    • beginner
    Proteomics label-TMT11
  • e-learning

    Clinical Metaproteomics 3: Verification

    • beginner
    Proteomics label-TMT11
  • e-learning

    Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

    ••• advanced
    Proteomics DDA SILAC
  • e-learning

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

    • beginner
    Proteomics DDA
  • 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.