J. M. Chambers, Software for Data Analysis: Programming with R, 2008.
DOI : 10.1007/978-0-387-75936-4

L. Excoffier and G. Heckel, Computer programs for population genetics data analysis: a survival guide, Programming for Bioinformatics, pp.745-758, 2006.
DOI : 10.1111/j.1471-8286.2004.00597.x

&. Chapman, /. Hall, B. Crc, and . Raton,

T. Jombart, adegenet: a R package for the multivariate analysis of genetic markers, Bioinformatics, vol.3, issue.11, pp.1403-1405, 2008.
DOI : 10.1093/oxfordjournals.jhered.a111573

URL : https://hal.archives-ouvertes.fr/hal-00428105

P. Murrell, R Graphics, 2006.

E. Paradis, Analysis of Phylogenetics and Evolution with R, 2006.
DOI : 10.1007/978-1-4614-1743-9

E. Paradis, J. Claude, and K. Strimmer, APE: Analyses of Phylogenetics and Evolution in R language, Bioinformatics, vol.20, issue.2, pp.289-290, 2004.
DOI : 10.1093/bioinformatics/btg412

URL : https://hal.archives-ouvertes.fr/ird-01887318

, R Development Core Team, 2009.

, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing

A. R. Templeton, K. A. Crandall, and C. F. Sing, A cladistic analysis of phenotypic association with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation, Genetics, vol.132, pp.619-635, 1992.