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Analysis and Integration of Transcriptome and Proteome Data – Course and Conference Office

EMBL Course

Analysis and Integration of Transcriptome and Proteome Data

Overview
Speakers
Programme

Course Overview

Systems biology is a still expanding field of research aiming to understand at the molecular level how cells, tissues and organism operate in their biological context. Among the key technologies driving this forward are next-generation sequencing and proteomics, as they provide powerful means to determine globally expression levels of genes and proteins. Both fields have matured to a degree that they have now become accessible to researchers in many areas of biology.

Audience

This course is targeted at biologists and biochemists who are (or starting to be) involved in both next-generation sequencing and mass spectrometry-based proteomics, but who are not experts in these fields.

Modules/Resources

Protein quantification
Next generation transcriptome and mass spectrometrey-based proteome data analysis
Bioinformatics tools for transcriptome and proteome data mining
Understanding experimental parameters (resolution, mass accuracy, peak shape, fragmentation)

Learning Outcomes

The aim of this practical course is to provide insight in techniques that are frequently used for transcriptome and proteome analysis, and to provide hands-on experience turning primary data into information that can be used for further biological interpretation. To achieve these aims, we’ll provide participants with next generation transcriptome and mass spectrometry-based proteome data that has been acquired at EMBL on stem cells and differentiated cells, serving as a central theme throughout the course to provide overall coherence. These data will be used to provide insight into metrics to assess data quality, to be trained in the use of available bioinformatic tools for data interpretation, and to get insight in the complementarity of transcriptome and proteome data and ways to integrate them.

Speakers and Trainers

Simon Anders

ZMBH Heidelberg

Germany

Vladimir Benes

EMBL Heidelberg

Germany

Raffaele Calogero

Universityof Turin

Italy

Daria Fijalkowska

DKFZ

Germany

Jeroen Krijgsveld

DKFZ

Germany

Lennart Martens

VIB University of Ghent

Belgium

Gerben Menschaert

University of Ghent

Belgium

Matt Rogon

EMBL Heidelberg

Germany

Mikhail Savitski

EMBL Heidelberb

Germany

Paul Wilmes

University of Luxembourg

Luxembourg