julien claude

Dr. julien claude


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 January 2004 in Bioinformatics
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EPEmmanuel Paradis
Emmanuel Paradis
julien claudejulien claude
julien claude
KSKorbinian Strimmer
Korbinian Strimmer
Summary: Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics. APE provides both utility functions for reading and writing data and manipulating phylogenetic trees, as well as several advanced methods for phylogenetic and evolutionary analysis (e.g. comparative and population genetic methods). APE takes advantage of the many R functions for statistics and graphics, and also provides a flexible framework for developing and implementing further statistical methods for the analysis of evolutionary processes. Availability: The program is free and available from the official R package archive at http://cran.r-project.org/src/contrib/PACKAGES.html#ape. APE is licensed under the GNU General Public License.

1 January 2014 in Journal of Statistical Software
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VBVincent Bonhomme
Vincent Bonhomme
SPSandrine Picq
Sandrine Picq
CGCédric Gaucherel
Cédric Gaucherel
julien claudejulien claude
julien claude
Momocs: Outline Analysis Using R

1 September 2002 in Journal of Theoretical Biology
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Journal Article
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EPEmmanuel Paradis
Emmanuel Paradis
julien claudejulien claude
julien claude

6 March 2012 in Systematic Biology
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GGGilles Guillot
Gilles Guillot
SRSabrina Renaud
Sabrina Renaud
RLRonan Ledevin
Ronan Ledevin
JMJohan Michaux
Johan Michaux
julien claudejulien claude
julien claude
Recognition of evolutionary units (species, populations) requires integrating several kinds of data, such as genetic or phenotypic markers or spatial information in order to get a comprehensive view concerning the differentiation of the units. We propose a statistical model with a double original advantage: (i) it incorporates information about the spatial distribution of the samples, with the aim to increase inference power and to relate more explicitly observed patterns to geography and (ii) it allows one to analyze genetic and phenotypic data within a unified model and inference framework, thus opening the way to robust comparisons between markers and possibly combined analyses. We show from simulated data as well as real data that our method estimates parameters accurately and is an improvement over alternative approaches in many situations. The power of this method is exemplified using an intricate case of inter- and intraspecies differentiation based on an original data set of georeferenced genetic and morphometric markers obtained on Myodes voles from Sweden. A computer program is made available as an extension of the R package Geneland.

1 July 2003 in Biological Journal of the Linnean Society
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julien claudejulien claude
julien claude
EPEmmanuel Paradis
Emmanuel Paradis
HTHaiyan Tong
Haiyan Tong
JAJean-Christophe Auffray
Jean-Christophe Auffray
In the largest group of extant turtles, the Testudinoidea, the acquisition of an aquatic or terrestrial way of life has occurred within two clades, al

1 December 2004 in Systematic Biology
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julien claudejulien claude
julien claude
PPPeter C. H. Pritchard
Peter C. H. Pritchard
HTHaiyan Tong
Haiyan Tong
EPEmmanuel Paradis
Emmanuel Paradis
JAJean-Christophe Auffray
Jean-Christophe Auffray
Resource use and phylogeny are often correlated with morphological variation. Moreover, because biological shapes are often complex and evolve depending on several internal constraints, they must be assessed using integrative methods. We analyzed the morphological variation of the turtle skull in the context of an adaptive radiation. Our focus are turtles of the superfamily Testudinoidea, which are remarkably diverse, both in number of species and in ecology. In this study, we depict morphological variation in the turtle skull in three dimensions with respect to diet, phylogeny, and habitat using modern geometric morphometrics. Our study revealed that morphological specialization was related to both diet and habitat. Morphological variation is decomposed in regard of both resource use (habitat and diet) and phylogeny. Feeding mode depending on environment was suggested as a key factor determining morphological evolution and diversification of turtle skulls. Diet (especially durophagy) leads to parallel morphologies in different clades. Phylogeny seemed to constrain only localized features of the skull and remained of minor influence, because overall morphotypes, closely correlated with ecological factors, occurred in both clades. In conclusion, the adaptive radiation of the Testudinoidea is revealed to demonstrate a clear relationship between the skull shape and life style.