Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Targeted proteomics
    • Bayesian methods15
    • Biostatistics15
    • Descriptive statistics15
    • Gaussian processes15
    • Inferential statistics15
    • Markov processes15
    • Multivariate statistics15
    • Probabilistic graphical model15
    • Probability15
    • Statistics15
    • Statistics and probability15
    • Algorithms9
    • Computer programming9
    • Data structures9
    • Programming languages9
    • Software development9
    • Software engineering9
    • Bottom-up proteomics8
    • Discovery proteomics8
    • MS-based targeted proteomics8
    • MS-based untargeted proteomics8
    • Metaproteomics8
    • Peptide identification8
    • Protein and peptide identification8
    • Proteomics8
    • Quantitative proteomics8
    • Top-down proteomics8
    • Comparative transcriptomics7
    • Transcriptome7
    • Transcriptomics7
    • Epigenomics3
    • Content management2
    • Data management2
    • Database management2
    • Document management2
    • File management2
    • Informatics2
    • Information management2
    • Information science2
    • Knowledge management2
    • Metadata management2
    • Record management2
    • Research data management (RDM)2
    • Biodiversity1
    • ChIP-exo1
    • ChIP-seq1
    • ChIP-sequencing1
    • Chip Seq1
    • Chip sequencing1
    • Chip-sequencing1
    • Computational chemistry1
    • Computational ecology1
    • DNA variation1
    • Diffraction experiment1
    • Ecoinformatics1
    • Ecological informatics1
    • Ecology1
    • Ecosystem science1
    • Genetic variation1
    • Genomic variation1
    • Imaging1
    • Microscopy1
    • Microscopy imaging1
    • Mutation1
    • Optical super resolution microscopy1
    • Photonic force microscopy1
    • Photonic microscopy1
    • Polymorphism1
    • Somatic mutations1
    • Show N_FILTERS more
    • Tool
    • Galaxy6
    • Cardinal1
    • UniProt1
    • WoLF PSORT1
    • msConvert1
    • Show N_FILTERS more
    • Content provider
    • GTN8
    • Show N_FILTERS more
    • Keyword
    • Proteomics8
    • DDA5
    • HeLa2
    • SILAC1
    • human1
    • imaging1
    • mouse1
    • work-in-progress1
    • Show N_FILTERS more
    • Competency level
    • Beginner4
    • Advanced2
    • Intermediate2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International8
    • Show N_FILTERS more
    • Target audience
    • Students8
    • Show N_FILTERS more
    • Author
    • Björn Grüning8
    • Florian Christoph Sigloch7
    • Matthias Fahrner1
    • Melanie Föll1
    • Show N_FILTERS more
    • Contributor
    • Martin Čech
    • Saskia Hiltemann34
    • Björn Grüning28
    • Melanie Föll27
    • Subina Mehta24
    • Helena Rasche19
    • Bérénice Batut14
    • Nicola Soranzo13
    • Armin Dadras8
    • Niall Beard8
    • Pratik Jagtap8
    • Katherine Do7
    • Timothy J. Griffin7
    • Florian Christoph Sigloch6
    • William Durand5
    • Clemens Blank4
    • Laurent Gatto3
    • Mallory Freeberg3
    • Pavankumar Videm3
    • The Gulbenkian Training Programme in Bioinformatics3
    • lievenclement3
    • Florence Combes2
    • Jayadev Joshi2
    • Matthias Fahrner2
    • Veit Schwämmle2
    • Amirhossein Naghsh Nilchi1
    • Andrea Argentini1
    • Anthony Bretaudeau1
    • Anton Nekrutenko1
    • Axelle Loriot1
    • Benjamin Neely1
    • Canadian Bioinformatics Workshops1
    • Charlotte Soneson1
    • Cristóbal Gallardo1
    • David Bouyssié1
    • Frederik Coppens1
    • Hana Pergl Sustkova1
    • Helge Hecht1
    • Jacob Fredegaard Hansen1
    • James Johnson1
    • Janick Mathys1
    • Jay1
    • John "Scooter" Morris1
    • JulieDevis1
    • Koen Van den Berge1
    • Kristina Gomoryova1
    • Lev Levitsky1
    • Lieven Clement1
    • Lucille Delisle1
    • Manon Martin1
    • Marc Vaudel1
    • Marek Vrbacky1
    • Martin Hubalek1
    • Martin Morgan1
    • Melanie Foell1
    • Mélanie Petera1
    • Oliver Crook1
    • Pavel Dvorak1
    • Pedro L Fernandes1
    • Rob Marissen1
    • Samuele Soraggi1
    • Wolfgang Maier1
    • npinter1
    • phusen1
    • skringe1
    • zhibinlu1
    • Show N_FILTERS more
    • Resource type
    • e-learning8
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows7
    • Associated Training Datasets5
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Targeted proteomics

and Contributors: Martin Čech

8 materials found
  • e-learning

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

    • Beginner
    Proteomics DDA Proteomics
  • e-learning

    Secretome Prediction

    •• Intermediate
    Proteomics Proteomics human work-in-progress
  • e-learning

    Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

    ••• Advanced
    Proteomics DDA Proteomics SILAC
  • e-learning

    Peptide and Protein ID using SearchGUI and PeptideShaker

    • Beginner
    Proteomics DDA HeLa Proteomics
  • e-learning

    Detection and quantitation of N-termini (degradomics) via N-TAILS

    •• Intermediate
    Proteomics Proteomics
  • e-learning

    Peptide and Protein ID using OpenMS tools

    ••• Advanced
    Proteomics DDA HeLa Proteomics
  • e-learning

    Protein FASTA Database Handling

    • Beginner
    Proteomics DDA Proteomics
  • e-learning

    Mass spectrometry imaging: Loading and exploring MSI data

    • Beginner
    Proteomics Proteomics imaging mouse
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.