This seven-week intensive laboratory and lecture course presents all concepts, technics and tools necessary for studying genomes, from experimental setups to data analysis. The different facets of genomics and its applications will be presented, and illustrated by examples from the most recently published research developments and results.
The Genomes Analysis course associate two complementary sides of genomes studies: a “wet-lab” experimental approach and the analysis of its results through bioinformatics tools.
The lectures given by expert scientists present cutting edge genomic and post-genomic technologies, as well as provide state of the art knowledge in domains such as genome structure and expression, evolution, epigenomics, gene expression regulatory networks, in both model and pathogenic organisms, metagenomics and natural or artificial population analysis.
The genomic and bioinformatics practical trainings allow applying the different concepts presented in the lectures. The wet-lab part will be divided in two projects. The first will focus on the metagenomics analysis of microbial communities using HiC technologies. The second will be dedicated to the study of a set of non-coding RNAs (piRNA) and of their regulatory role on the Drosophila melanogaster transposable elements.
A good knowledge of genetics, molecular biology and biochemistry is mandatory; i.e. end of master 1 level. In terms of bioinformatics there is no prerequisite. Bioinformatics methodologies and training will be taught along the course process. Computer access will be provided for all students in order to practice and apply the learned methodologies on their data sets. Applications will be evaluated by the Genome Analysis course committee.
Unité Plasticité du Génome Bactérien
Stéphane Le Crom
Institut de Biologie Paris-Seine
UPMC - Sorbonne Université
Unité Virus et interférence ARN
M. Badoual* (Université Paris-Saclay),
S. Bloyer* (Université Paris-Saclay),
L. Frangeul (Institut Pasteur),
J. Heuvingh (ESPCI),
S. Le Crom* (Sorbonne Université),
D. Mazel (Institut Pasteur),
V. Ponticelli (Institut Pasteur),
M. Sala (Institut Pasteur),
R.A. Veitia* (Université de Paris),
H. Waxin (Institut Pasteur).
* Représentants des Universités