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.
For registration, please fill out the form at https://goo.gl/forms/X9vSXIQ9sguQKQip2
Deadline for registration is September 15th 2017
For more information, please contact the course organizer Dr. Pierre De Wit at: pierre.de_wit[at]marine.gu.se