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Poster Communications Year : 2017

Integrating single marker tests in genome scans for selection : the local score approach

Abstract

The huge amount of molecular data available nowadays can help addressing new and essential questions in evolution. Answering these questions require efficient and sound mathematical and computational models and tools. The Mathematical and Computation Evolutionary Biology meetings focus on cutting-edge methodological advances in the domain, along with their foremost applications. The theme of this year's edition will be "Methods for Integrative Evolutionary Biology: various sources of data, various scales of evolution", which includes the analysis of heterogeneous data (molecular, phenotypic, ecological...), different time scales (from recent times to the origin of life), different spatial scales (from landscape to worldwide range), the combination of phylogenetics and population genetics, multidisciplinary approaches, etc. Beyond this year’s theme, general concepts, models, methods and algorithms will be presented and discussed, just as in the previous editions of MCEB. As usual, the meeting will bring together researchers originating from various disciplines: mathematics, computer science, phylogenetics, population genetics, epidemiology, ecological modeling ... Keynote speakers will introduce a field of research and discuss their own work in this field (see below). Afternoon will be for short presentations and posters, with plenty of time for discussions. We will stop early every day, thus leaving time for other activities, such as hiking or swimming. The number of attendees will be limited to favor small group interactions.

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Dates and versions

hal-01798027 , version 1 (23-05-2018)

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María Inés Fariello Rico, Simon Boitard, Sabine Mercier, Magali San Cristobal. Integrating single marker tests in genome scans for selection : the local score approach. Mathematical and Computational Evolutionary Biology, Jun 2017, Porquerolles, France. pp. 1-1, 2017. ⟨hal-01798027⟩
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