E v o l D i r

140 EvolDir December 1, 2012
*Target Audience* Everybody using Bioinformatics
methods is implicitly using statistical methods. Most
people have had one or more semester courses in Statistics
in their graduate education. For many, Statistics
happened in their lives a long a time ago, and that
makes it difficult to go back and manipulate the concepts
with full confidence. Moreover, proper judgement
of the results often calls for a deeper level of understanding
than what is required to solve scholarly exercises.
Attending this course is a chance of revisiting subjects
like experimental design, hypothesis testing, inference
and prediction in an intensive and systematic way. We
will look into particular areas such as Bayesian Inference,
Hidden Markov Chains and Multivariate methods
with the attitude, eyes and brains of a statistician that
/
This message has been arbitrarily truncated at 5000 characters.
To read the entire message look it up at http://life.biology.-
mcmaster.ca/˜brian/evoldir.html
Oeiras Portugal
PopulationStructure Dec17-19
IGC, Oeiras, Portugal
Course Announcement
IPSI12 Introduction to Population Structure Inference
with Lounès Chikhi and Vitor Sousa
IMPORTANT DATES for this Course Deadline for applications:
November 30th 2012 Latest notification of
acceptance: December 5th 2012 Course date: December
17th - 19th 2012
Candidates with adequate profile will be accepted in
the next 72 hours after the application until we reach
20 participants.
http://gtpb.igc.gulbenkian.pt/bicourses/IPSI12/
Overview
Genetic data are increasingly used by ecologists and
evolutionary biologists in general. It has thus become
important for many biologists with different levels of experience
to produce and analyse genetic data. In this
short course we shall try to take a practical approach
to the analysis of genetic data, but we will also provide
some of the theoretical background required to under-
stand the outputs of the software used. This course
will be organised so as to mix sessions where important
notions are introduced with practicals where freely
available software will be used. While this will not be
the focus of the course, we will also discuss genealogical
(coalescent-based) simulation methods and those based
on forward-in-time simulations. Altogether this will allow
to discuss the potentialities and limitations of the
tools available to the community.
In this three-day course we will introduce the main concepts
that underlie many of the population structured
models that are frequently used in population 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 diversity and
population differentiation. The course will also cover
a short introduction to coalescent theory, Bayesian inference
in population genetics and data simulation, as
they are connected to what makes landscape genetics
today on the basis of multilocus data.
Most theory will be put into practice in practical sessions,
analyzing real and/or simulated datasets. In
these sessions, we will
(i) look at measures of genetic diversity and differentiation
using GENETIX; (ii) use methods to detect
population structure as implemented in the programs
GENECLASS2 and STRUCTURE; (iii) use geneland
to detect genetic clusters using spatial information on
the sampling locations of individuals, and (iv) learn
how to perform coalescent simulations of genetic data
(using SPAms and ms).
Thank you for your interest! (deadline for applications
Nov 30th)
–
Upcoming Training Courses in GTPB: http://gtpb.igc.gulbenkian.pt/bicourses/BFB12
http:/-
/gtpb.igc.gulbenkian.pt/bicourses/IB12A http:/-
/gtpb.igc.gulbenkian.pt/bicourses/IPSI12 – Pedro
Fernandes Instituto Gulbenkian de Ciência
Apartado 14 2781-901 OEIRAS Tel +351 21 4407912
http://gtpb.igc.gulbenkian.pt Pedro Fernandes