This one-week class focuses on the large-scale study of heterogeneity across individual cells from the genomic, transcriptomic and epigenomic points of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce comes with novel methodological challenges for the analysis. In this regard, specific bioinformatics and statistical methods have been developed in order to extract robust information.
This course is directed towards engineers and researchers who regularly need to undertake single-cell data analysis as well as PhD Student and Post Doc in computational biology or bioinformatics that are interested in the development of methods and pipelines for highly dimensional single-cell data analysis.
A wide range of single-cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines.
It is not necessary to have personal single-cell data to analyse.
- Date: 3rd February 2019 – 8th February 2019
- Place: Roscoff, France
- Deadline registration: 15th November (no extension possible)
- Course web: http://www.france-bioinformatique.fr/en/evenements/sincellTE_2019