High-throughput single cell Transcriptome and Epigenome : Theory and Practice
From 02/03/2019 to 02/08/2019
This school addresses the challenge of studying heterogeneous cell populations from a genomics, transcriptomics and epigenomics point of view. Technologies now allow to characterize tissues and biological samples at the single cell resolution. These technologies evolve very rapidly, requiring the constant development of bioinformatics and biostatistics methods adapted to these new types of data.
The objective of this school is to explain and disseminate these new methods among practitioners involved in functional genomics projects at the single cell level. It offers a comprehensive training that provides an overview of the different technologies and their possible applications, and covers all the bioinformatics and biostatistics analysis steps, including experimental design, quality control, processing of the raw sequences, visualization and interpretation of the data.
The school is intended for engineers and researchers involved in single cell data analysis projects, as well as PhD students and post docs in computational biology. Attendees must have a previous knowledge of bulk high throughput data analysis (RNA-seq, ChIP-seq, ATAC-seq, Hi-C, …) and be familiar with unix command lines and the R language. 30 participants are expected. The school will take place in Roscoff where participants will have access to dedicated computational resources.