News: Course: Speciation Genomics in Canada - Quebec City, 2-6 September 2019
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4 weeks ago by
info40
info40 wrote:

Course: Speciation Genomics


When: 2-6 September


Where: Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval Québec (Québec), Canada


Instructors: Dr. Mark Ravinet (CEES, Univeristy of Oslo, Norway) and Dr. Joana I. Meier (University of Cambridge, UK).


Overview

This course will provide a thorough introduction to the growing field of speciation genomics. The course aims to take students from the initial steps required for handling raw sequencing data to demographic modelling and inference of genome-wide signatures of selection and introgression. Through a combination of lectures covering key theoretical and conceptual topics, alongside hands-on exercises, participants will learn the most important computational approaches used in speciation genomics. This will include a heavy emphasis on data visualization and intepretation. After completing of the course, the participants should be able to begin using NGS data to shed light on the genomic aspects of speciation in their study system of choice.


Format

This course is designed for researchers and graduate students with strong interests in applying novel high-throughput DNA sequencing technologies to study the population genomic basis of speciation. The course will mainly focus on the analysis of NGS data for study systems for which a reference genome is available. We will provide theoretical lectures and hands-on exercises drawing on examples of whole-genome resequenced and RAD-sequencing data. Participants will make use of the UNIX command line, R and Python throughout the course.


Assumed Background

The participants should have some basic background in evolution and genomics. No programming or scripting expertise is required. Previous experience in UNIX-based command line and R is an advantage but a standard introduction will be provided. All hands-on exercises will be run in a Linux environment on remote servers. Statistical analyses will be run in R using RStudio.


Learning Outcomes

Handling NGS data from raw reads to genetic variants

Applying basic population genetic statistics

Visualizing the genetic structure

Inferring demographic history

Identifying regions under divergent selection or barriers to gene flow

Understanding the potential and limitations of different methods to detect regions under selection


Please visit our website to have more information about the course content: https://www.physalia-courses.org/courses-workshops/course37/


Here is the full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops/


Should you have any questions, please feel free to contact us: info@physalia-courses.org


Best regards,

Carlo

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