Abstract

The course participants will use open-source software. R-coding skills and deep knowledge of statistics are not necessary for attendance because most analyses will be performed with docker4seq package, which was developed to facilitate the use of computing demanding applications in the field of NGS data analysis. Docker4seq package uses docker containers that embed demanding computing tasks (e.g. short reads mapping) into isolated containers. This approach provides multiple advantages:        •     user does not need to install all the software on its local server; •     results generated by different containers can be organized in pipelines; •     reproducible research is guarantee by the possibility of sharing the docker images used for the analysis. Computers for hands-on exercises will be provided along with demo data sets.