Register training material
10 materials found

Authors: Jan Slifka  or Florian Christoph Sigloch 


Hands-on for 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial

The questions this addresses are:
- What are benefits and drawbacks of different quantitation methods?
- How to choose which quantitation method bests suits my need?

The objectives are:
- Choose your quantitation method.

Scientific topics: Proteomics

Keywords: proteomics, DDA

Resource type: hands-on tutorial

Hands-on for 'Secretome Prediction' tutorial

The questions this addresses are:
- How to predict cellular protein localization based upon GO-terms?
- How to combine multiple localization predictions?

The objectives are:
- Predict proteins in the cellular secretome by using GO-terms.
- Predict proteins in the cellular secretome by...

Scientific topics: Proteomics

Keywords: proteomics, human

Resource type: hands-on tutorial

Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial

The questions this addresses are:
- 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?

The objectives are:
- MS1 feature quantitation and mapping of quantitations to peptide and...

Scientific topics: Proteomics

Keywords: proteomics, DDA, SILAC

Resource type: hands-on tutorial

Hands-on for 'Peptide and Protein ID using SearchGUI and PeptideShaker' tutorial

The questions this addresses are:
- How to convert LC-MS/MS raw files?
- How to identify peptides?
- How to identify proteins?
- How to evaluate the results?

The objectives are:
- Protein identification from LC-MS/MS raw files.

Scientific topics: Proteomics

Keywords: proteomics, DDA

Resource type: hands-on tutorial

Hands-on for 'Detection and quantitation of N-termini (degradomics) via N-TAILS' tutorial

The questions this addresses are:
- How can protein N-termini be enriched for LC-MS/MS?
- How to analyze the LC-MS/MS data?

The objectives are:
- Run an N-TAILS data analysis.

Scientific topics: Proteomics

Keywords: proteomics

Resource type: hands-on tutorial

Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial

The questions this addresses are:
- How to convert LC-MS/MS raw files?
- How to identify peptides?
- How to identify proteins?
- How to evaluate the results?

The objectives are:
- Protein identification from LC-MS/MS raw files.

Scientific topics: Proteomics

Keywords: proteomics, DDA

Resource type: hands-on tutorial

Hands-on for 'Protein FASTA Database Handling' tutorial

The questions this addresses are:
- How to download protein FASTA databases of a certain organism?
- How to download a contaminant database?
- How to create a decoy database?
- How to combine databases?

The objectives are:
- Creation of a protein FASTA database ready for use with database...

Scientific topics: Proteomics

Keywords: proteomics, DDA

Resource type: hands-on tutorial

DS Wizard and its Use

This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind Data Stewardship Wizard, and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

A Gentle Introduction to DSW for Convergers

Data Stewardship Wizard brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart...

Scientific topics: Data management, Data governance

Keywords: Data managment plan, data stewardship, data management, software tools

Resource type: Video, Slides, Webinar

Data Stewardship Wizard Workshop (Feb 2020)

Data Stewardship Wizard brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

Scientific topics: Data governance, Data management

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides