Session content



Lecture 1 – Introduction to high-throughput reduced representation data


Lab 1 – Computer environment set up and introduction to UNIX


Lab 2 – High-throughput data quality assessment






Lecture 2 – Overview of reduced representation library sequencing data analysis strategies: considerations depending of each case study


Lab 3 – Data preprocessing






Lecture 3 – De novo and reference based loci assembly and informative marker selection


Lab 4 – De novo loci assembly


Lab 5 – Reference genome based loci assembly






Lecture 4 – Applications of reduced representation sequencing data to population genetics, genome wide association studies and phylogenetics


Lab 6 – From assembled loci to informative marker selection






Lecture 5 - Review. Questions and Answers. Open discussion.


Lab 7 – Continue previous unfinished exercises or work on your own data