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[Diagnostics] Last call course Quantitative Genetics of Shape

Soledad De Esteban Trivigno via diagnost%40net.bio.net (by soledad.esteban from transmittingscience.org)
Thu Sep 19 03:42:59 EST 2013

I think that this course could be of interest for some of the list members:

"Quantitative Genetics of shape - Second edition"; February 3-6, 2014.
Instructors: Dr. Neus Martínez Abadías (Centre for
Genomic Regulation, Spain) and Dr. Nicolas Navarro (École Pratique des Hautes
Études, France).

Deadline for early registration with reduced fee: SEPTEMBER 30!
Place: Els Hostalets de Pierola, Barcelona, Spain.
Organized by: Transmitting Science and the Council of Els Hostalets de Pierola.
More information:

The aim of this course is to provide participants with an overview of
quantitative genetics, with specific application to shape analysis and
decomposition of phenotypic variation into components of genetic and
environmental variation. The basic theoretical concepts of resemblance between
relatives, heritability, estimates of selection, and geometric morphometrics
will be introduced. Practical lessons will enable participants to learn to use
user-friendly (and not so user-friendly) software packages to estimate
heritability, phenotypic and genetic variance covariance matrices, response to
hypothetical selection, actual selection and QTL mapping. Participants are
encouraged to bring their own data for analysis and discussion in the course.
Morphometric data involves any kind of quantitative shape data collected on
individuals, such as linear measurements and/or 2D or 3D landmark coordinates.
Pedigree files usually consist of text files with a list of three columns
(individual ID, father ID, mother ID). Specific details about formatting these
files will be provided during the practical lessons.

Participants in any editions of the previous course  Integration and Modularity
with Geometric Morphometrics  are entitled to a  20 % discount  on the course

With best regards

Soledad De Esteban Trivigno, PhD.
Transmitting Science

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