Session content

Monday – Classes from 09:30 to 17:30

 

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

 

 

 

Tuesday – Classes from 09:30 to 17:30

 

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

 

Lab 3 – Data preprocessing

 

 

 

Wednesday– Classes from 09:30 to 17:30

 

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

 

 

 

Thursday – Classes from 09:30 to 17:30

 

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

 

 

 

Friday – Classes from 09:30 to 17:30

 

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

 

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