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Analysis of Phylogenetics and Evolution with R (Use R!) Emmanuel Paradis
Publisher: Springer

His broad area of research is virus evolution. On the "Knowing phylogenetic relationships of house dust mites may provide insights into allergenic properties of their immune-response-triggering proteins and the evolution of genes encoding allergens.". For this analysis, distances between the sequences were calculated using Kimura's two-parameter model [20-23]. Their project used large-scale DNA sequencing, the construction of detailed evolutionary trees called phylogenies, and sophisticated statistical analyses to test the hypotheses about the ancestral ecology of house dust mites. In addition to his PhD studies, he is a See here for the full list of Melbourne R User Videos. Candidate at The University of Sydney, based at the Molecular Phylogenetics, Ecology, and Evolution Lab. About the presenter: Sebastián Duchêne is a Ph.D. The phylogenetic relationships among species were analyzed using the neighbor-joining method in MEGA 5.0 [20]. Fuzzy Cluster Analysis of this matrix, using the FANNY algorithm [34,41] in the R statistics program, led to a membership value assigned to each construct-cluster pairing. In Package 'ape': Analysis of Phylogenetics and Evolution Edited by Paradis E, Bolker B, Claude J, SienCuong H, Desper R, Durand B, Dutheil J, Gascuel O, Heilbl C, Lawson D, Lefort V, Legrande , Lemon J, Noel Y, Nylander J, Opgen Rhein R, Popescu AA, Schliep K, Strimmer K, Vienne D. His current projects include an R package for evolutionary analysis, and the development of statistical models for molecular epidemiology.