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Dear all,
last places left on our Speciation Genomics course with Dr. Mark Ravinet (University of Nottingham, UK) and Dr. Joana I. Meier (University of Cambridge, UK) :
Registration deadline: 25th of Janaury 2020
Free University (FU) Berlin (Germany), 24-28 February 2020
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.
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/cou...hops/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: [email protected]
last places left on our Speciation Genomics course with Dr. Mark Ravinet (University of Nottingham, UK) and Dr. Joana I. Meier (University of Cambridge, UK) :
Registration deadline: 25th of Janaury 2020
Free University (FU) Berlin (Germany), 24-28 February 2020
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.
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/cou...hops/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: [email protected]
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