Organizer: EMBO

Start: Wednesday, 01 April 2020 @ 13:00

End: Wednesday, 08 April 2020 @ 15:30

Timezone: CET

Contact: embo.popgen.2020@gmail.com

Venue: Via Principessa Margherita, 46

City: Procida

County: Città Metropolitana di Napoli

Country: Italy

Postcode: 80079

Scientific topic: Population genomics

Target audience:
  • Evolutionary Biologists
  • PhD students
  • Post-Docs
Description:

This EMBO Practical Course will cover coalescent theory, the effect of demography in space and time, genetic clustering, the detection and quantification of admixture and selection. Lectures on these topics will be complemented by hands-on computer practicals introducing a wide range of software packages, both in R and Python. This course is aimed at evolutionary biologists who already have basic bioinformatics skills. The main criterion for selection will be how much a candidate can benefit from the course.

Event type:
  • Workshops and courses

Keywords: Population Genomics, Genetic Diversity, GWAS, Population genetics, genetic clustering

Population genomics: Background, tools and programming https://tess.elixir-europe.org/events/population-genomics-background-tools-and-programming-0e44cebb-4ef0-4f06-b9f4-f512f0bef569 This EMBO Practical Course will cover coalescent theory, the effect of demography in space and time, genetic clustering, the detection and quantification of admixture and selection. Lectures on these topics will be complemented by hands-on computer practicals introducing a wide range of software packages, both in R and Python. This course is aimed at evolutionary biologists who already have basic bioinformatics skills. The main criterion for selection will be how much a candidate can benefit from the course. 2020-04-01 13:00:00 UTC 2020-04-08 15:30:00 UTC EMBO Via Principessa Margherita, 46, Procida, Italy Via Principessa Margherita, 46 Procida Città Metropolitana di Napoli Italy 80079 Population genomics [] embo.popgen.2020@gmail.com [] Evolutionary BiologistsPhD studentsPost-Docs workshops_and_courses [] Population GenomicsGenetic DiversityGWASPopulation geneticsgenetic clustering