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Related resources: Proteomics dataset  or Workshop FAIR & Data stewar... 


Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle

This material is part of a FAIR data stewardship follow up workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)

Scientific topics: FAIR data, Data management

Operations: Analysis, Data handling

Keywords: Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse

Resource type: Slidedeck

Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle http://tess.elixir-uk.org/materials/workshop-fair-data-stewardship-for-the-2021-itn-proevlifecycle This material is part of a FAIR data stewardship follow up workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle) FAIR data Data management Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse PhD candidate
Proteomics - Peptide and Protein ID using OpenMS tools

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using OpenMS tools http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-id-using-openms-tools Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature...

Resource type: Tutorial

Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL) http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-quantification-via-stable-isotope-labelling-sil Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature quantitation and mapping of quantitations to peptide and protein IDs.
Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-id Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Proteomics - Secretome Prediction

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using...

Resource type: Tutorial

Proteomics - Secretome Prediction http://tess.elixir-uk.org/materials/proteomics-secretome-prediction Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using GO-terms. - Predict proteins in the cellular secretome by using WolfPSORT. - Combine the results of both predictions.
Proteomics - Metaproteomics tutorial

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How can I match metaproteomic mass spectrometry data to peptide sequences derived from shotgun metagenomic data? - How can I perform taxonomy analysis and visualize metaproteomics data? - How can I perform...

Resource type: Tutorial

Proteomics - Metaproteomics tutorial http://tess.elixir-uk.org/materials/proteomics-metaproteomics-tutorial Training material for proteomics workflows in Galaxy Questions of the tutorial: - How can I match metaproteomic mass spectrometry data to peptide sequences derived from shotgun metagenomic data? - How can I perform taxonomy analysis and visualize metaproteomics data? - How can I perform functional analysis on this metaproteomics data? Objectives of the tutorial: - A taxonomy and functional analysis of metaproteomic mass spectrometry data.