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DTSTAMP:20260808T230129Z
UID:3abc72b2-9a0d-4145-a901-1c3fec881ad9
DTSTART:20190513T090000Z
DTEND:20190517T170000Z
DESCRIPTION:Genetic and genomic data are increasingly used by ecologists an
 d evolutionary biologists in general. It has thus become important for man
 y biologists with different levels of experience to produce and analyse ge
 netic (and genomic) data. In this course we will take a practical approach
  to the analysis of genetic and genomic data\, but we will also provide so
 me of the theoretical background required to understand the outputs of the
  software used. This course will be organised so as to mix lectures where 
 important notions are introduced with practicals where freely available so
 ftware will be used. While this will not be the focus of the course\, we w
 ill also introduce and discuss genealogical (coalescent-based) simulation 
 methods and those based on forward-in-time simulations. Altogether this wi
 ll allow to discuss the potentialities and limitations of the tools availa
 ble to the community. \n\nIn this five-day course we will introduce the ma
 in concepts that underlie many of the models that are frequently used in p
 opulation genetics. We will focus on the importance of demographic history
  (e.g. effective sizes and migration patterns) in shaping genetic data. We
  will go through the basic notions that are central to population genetics
 \, insisting particularly on the statistics used to measure genetic divers
 ity and population differentiation. The course will also cover a short int
 roduction to coalescent theory\, Bayesian inference in population genetics
  and data simulation. We will also introduce methods that have been recent
 ly developed to analyse genomic data such as the PSMC method of Li and Dur
 bin that reconstructs the demographic history of a species or population w
 ith the genome of a single individual. \n\nMost theory will be put into pr
 actice in practical sessions\, analyzing real and/or simulated datasets. I
 n these sessions\, we will look at measures of genetic diversity and diffe
 rentiation and use methods to infer demographic history. We will learn how
  to perform coalescent simulations of genetic/genomic data (using mainly R
 ichard Hudson's ms program). We will also show how to simulate data for PS
 MC analyses. This will allow users to compare the PSMC obtained with real 
 data to those obtained for the models they used. We will also look at how 
 habitat fragmentation can be simulated using an in-house program. Some exe
 rcises will make use of R scripts (R being a freely available statistical 
 program). Basic R knowledge is a pre-requisite but we will provide a short
  introduction to R. The R statistical package is a very powerful tool to a
 nalyse data outputs from many population genetics software\, and can also 
 be used to simulate genetic data under simple demographic scenarios.
LOCATION:Instituto Gulbenkian de Ciência (IGC)\, 6\, Rua Quinta Grande
SUMMARY:Population Genetics and Demographic History: model-based approaches
  
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/2019/PGDH19/index.htm
 l 
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