Introduction to omics analysis [SBIOB355]

Learning outcomes

Familiarisation with the vocabulary and experimental approaches of high-throughput analysis.
Understanding their potential and limitations.
Acquire a methodology for using and interpreting a proteomic data set.

Objectives

This course aims to familiarise students with high-throughput analysis techniques, such as metabolomics, lipidomics, proteomics and the applications of high-throughput DNA sequencing. The principles, advantages and limitations of these different approaches will be presented and illustrated by examples/applications.

Content

For Arnould :

External contributors aiming to develop

1) metabolomics based on various aspects of mass spectrometry

2) the use of metabolomics in the context of cancer

3) lipidomics


For the De Bolle part:

Applications arising from the possibility of high-throughput sequencing (Tn-seq, ChIP-seq, RNA-seq, Hi-C, Ribo-seq, CLIP-seq, FAIRE-seq, ATAC-seq)


For the Fox section:

1) Introduction to proteomics

2) Mass spectrometry for protein analysis

3) Protein identification: from spectrum to database

4) Quantitative analysis strategies and examples

Table of contents

1) Introduction and objectives

2) Lipidomics and metabolomics

3) Proteomics

4) Genomics

Exercises description

A proteomic data set is presented to the students. The analysis strategies are explained.
Working in pairs, the students analyse the data set and extract relevant biological information. The assessment is based on the presentation of their results.