An introduction to bioinformatic tools for population
genomic data analysis 6-10 November 2017

This course aims at detailed understanding and hands-on experience of
        using state of the art bioinformatics pipelines for one's own biological
        research questions. An important aspect of the course is to show how
        genomic data can be applied to address and answer research questions
        in the fields of genetics, ecology, population biology, biodiversity
        monitoring and conservation. The students will be trained in the latest
        bioinformatic methods to analyze high throughput sequencing data,
        which is present in many research projects. The course will cover basic
        computing tools required to run command line applications, processing
        high throughput sequencing data of whole genome / exome / restriction site 
        digested (RAD) DNA for population genomic studies.
        The first part of the course introduces general computing tools for
        beginners such as the UNIX command line environment, bash commands, data
        formatting using regular expressions and basic scripting in the unix
        shell with a series of examples and exercises using a remote server.
        The course introduces bioinformatics software for analysis of RAD-data, and
        downstream population genetic analysis of genotype data.
        The course also introduces basic and advanced concepts of
        population genomics data analysis such as genome/transcriptome assembly, 
        alignment/mapping, differential Gene expression,
        functional enrichment tests, SNP genotyping, PCA, outlier tests.
        The course corresponds to 1 week of full time studies and and is composed
        of lectures, demonstrations and computer labs.

The course is limited to 18 graduate students or postdocs. There is no
course fee, but students will have to fund their own travel.
All course sections take place at Tjärnö Marine Station, Sweden.

Registration for the course is now closed

For more information, please contact the course organizer Dr. Pierre De Wit at: pierre.de_wit[at]