Related resources: Proteomics dataset or Chipster
This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis...
Keywords: scRNA-seq
Resource type: Slides, Training materials
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
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
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
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
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