COURSE DESCRIPTION
This course will explore state-of-the-art knowledge and experiences to better understand complex biological systems. The main objective is to provide participants with a solid foundation on the current bioinformatics approaches and tools to better address specific biological questions using OMIC data.
LEARNING OBJECTIVES
- Recognise questions that can be tackled with functional analysis.
- Understand the statistical bases of multivariate methods for component analysis.
- Discover the use of biological networks for the study of OMIC datasets.
- Get acquainted with the basic tools, packages and resources for the above mentioned analysis.
TRAINING DATES
23-26 May 2022
TRAINING PLACE
Institut Pasteur de Tunis.
Tunisia.
TARGET AUDIENCE
Postgraduate students, postdocs, engineers and researchers interested in epigenomics, epigenetics and the regulation of gene expression.
ORGANIZERS
Institut Pasteur Paris team
SPEAKERS & AFFILIATIONS
Natalia Pietrosemoli (Institut Pasteur, Paris)
Claudia Chica (Institut Pasteur, Paris)
COURSE/TRAINING PREREQUISITES
Basic knowledge of statistics; basic knowledge of command line (understanding how to run a program, how to change between directories), basic knowledge of transcriptomics and epigenomics analysis.
Clic here to see the program