Objectives

This school deals with the study of heterogeneous cell populations from the genomic, transcriptomic and epigenomic point of view. Technologies capable of characterizing single cells evolve rapidly and lead to the generation of new types of data associated with new methodological challenges. In order to follow these technological developments, dedicated bioinformatics and biostatistics methods are developed allowing to take into account the specificity of these data and to propose suitable analysis methods.

The school aims to explain and disseminate these methods within the community of engineers and researchers, bioinformaticians and statisticians directly involved in single cell functional genomics projects. This course offers a complete training including the choice of the technology best suited to the biological question posed, the design of the experiment, the quality control and, in particular the bioinformatic analyzes and associated statistics. The school will be based on an alternation of theoretical sessions and practical workshops.

Participants

This training is intended for a about thirty engineers and research executives involved in the regular analysis of single-cell data, as well as doctoral and post-doctoral students in computational biology and bioinformatics interested in the development and application of single-cell analysis methodologies high dimension.

Working environment

The whole training will be based on the use of online commands (Linux terminal) for bioinformatics analyzes, and of the R language for statistical analyzes.

Prerequisites

Knowledge of tools and pipelines to analyze high-throughput sequencing data (RNA-seq or Hi-C or ATAC-seq bulk). Participants should already practice high-throughput sequencing data analysis, with daily use of the R language, the Rstudio environment, and a good knowledge of the Unix command line. It is not necessary to have an own single cell data analysis project.

Registration details

Pre-registration deadline :  15 Janvier 2020 (selection of participants: February 1, 2020). The number of places being limited (30 participants), the organizing committee will select the participants according to the information provided during this pre-registration.

Registration fees for academic staff

600 € HT = 720 € TTC (cost already covered for staff paid by the CNRS); for manufacturers: € 1.750 excluding tax = € 2.100 including tax. Accommodation and food are included.

Scientific coordination : Marie-Agnès Dillies, C3BI (USR 3756 IP CNRS), Morgane Thomas-Chollier, IBENS (CNRS UMR8197, ENS, INSERM U1024), Agnès Paquet, SYNEOS Health (Sophia-Antipolis), Antonio Rausell (Institut Imagine, INSERM UMR-1163)

Technical coordination : Erwan Corre (ABIMS FR2424 CNRS-UPMC, Station Biologique de Roscoff)

LEAFLET