Location & dates Virtual 3 - 7 May 2021 Register Now
Deadlines Application - 8 Mar 2021

EMBL Courses and Conferences during the Coronavirus pandemic

With the onsite programme paused, many of our events are now being offered in virtual formats.


Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.


More information for participants of events at EMBL Heidelberg can be found here.

EMBL is committed to sharing research advances and sustaining scientific interaction throughout the coronavirus pandemic. We are delighted to announce that the course is going virtual and invite you to join us online.

Course Overview

This course will provide both theoretical and practical training in the use of quantitative proteomics approaches.  Participants will learn the principles of current methodologies including label-free, SILAC and TMT as well as targeted proteomics, and they will be trained in the use of bioinformatic tools for data analysis. 

Audience

This course is aimed at researchers who know the basics of proteomics and who want to get a deeper understanding of quantitative methodologies, and at those who are familiar with wet-lab proteomic experimentation but want to gain experience in bioinformatic data interpretation. To enter the course a basic understanding of mass spectrometry-based proteomics is beneficial.

Modules/Resources

  • The principles of proteome quantification by stable isotope labeling (SILAC and TMT), label-free, and targeted proteomics
  • Introduction how various types of mass spectrometers can be used for proteome quantification
  • Computer training sessions using software tools for the analysis of various quantitative proteomic data types
  • Lectures demonstrating the application of quantitative proteomics in biology, clinical research and drug discovery

Learning Outcomes

  • Understand the principles and use cases of quantitative proteomic methods
  • Ability to design quantitative proteomic experiments, including selection of the most appropriate hardware and software
  • Ability to analyse quantitative proteomic data by various software tools

What past participants say about the conference:

"This course aids you in paving the way towards the full potential of quantitative proteomics and is essential for both new and experienced users." – Jarne Pauwels, VIB-University Ghent.

"I enthusiastically highly recommend this course to anyone interested in quantitative MS. The high caliber of speakers, combination of theoretical with practical applications, organization and international participants made this an especially wonderful academic experience." –Enzo Scifo, Campbell Family Mental Health Research Institute of CAMH, University of Toronto, Canada.