APE: Analyses of Phylogenetics and Evolution in R language

UNLABELLED 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]  J. Felsenstein Phylogenies and the Comparative Method , 1985, The American Naturalist.

[2]  Michael J. Sanderson,et al.  A Nonparametric Approach to Estimating Divergence Times in the Absence of Rate Constancy , 1997 .

[3]  R M May,et al.  The reconstructed evolutionary process. , 1994, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[4]  K. Misawa,et al.  A simple method for classifying genes and a bootstrap test for classifications. , 2000, Molecular biology and evolution.

[5]  E. Martins The Comparative Method in Evolutionary Biology, Paul H. Harvey, Mark D. Pagel. Oxford University Press, Oxford (1991), vii, + 239 Price $24.95 paperback , 1992 .

[6]  K. Strimmer,et al.  Exploring the demographic history of DNA sequences using the generalized skyline plot. , 2001, Molecular biology and evolution.

[7]  Oliver G. Pybus,et al.  Testing macro–evolutionary models using incomplete molecular phylogenies , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[8]  E. Holmes,et al.  Inferring population history from molecular phylogenies. , 1995, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[9]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .