APE: Analyses of Phylogenetics and Evolution in R language
TLDR
UNLABELLED Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics that provides both utility functions for reading and writing data and manipulating phylogenetic trees.Abstract:
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.read more
Citations
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Journal ArticleDOI
Comprehensive Integration of Single-Cell Data.
Tim Stuart,Andrew Butler,Paul J. Hoffman,Christoph Hafemeister,Efthymia Papalexi,William M. Mauck,Yuhan Hao,Marlon Stoeckius,Peter Smibert,Rahul Satija +9 more
TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
Journal ArticleDOI
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Morgan G. I. Langille,Jesse R. Zaneveld,J. Gregory Caporaso,J. Gregory Caporaso,Daniel McDonald,Dan Knights,Joshua A Reyes,Jose C. Clemente,Deron E. Burkepile,Rebecca Vega Thurber,Rob Knight,Rob Knight,Robert G. Beiko,Curtis Huttenhower,Curtis Huttenhower +14 more
TL;DR: The results demonstrate that phylogeny and function are sufficiently linked that this 'predictive metagenomic' approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
Journal ArticleDOI
phytools: an R package for phylogenetic comparative biology (and other things)
TL;DR: A new, multifunctional phylogenetics package, phytools, for the R statistical computing environment is presented, with a focus on phylogenetic tree-building in 2.1.
Journal ArticleDOI
ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R.
Emmanuel Paradis,Klaus Schliep +1 more
TL;DR: Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release of ape.
Journal ArticleDOI
Picante: R tools for integrating phylogenies and ecology
Steven W. Kembel,Peter Cowan,Matthew R. Helmus,William K. Cornwell,Hélène Morlon,David D. Ackerly,Simon P. Blomberg,Campbell O. Webb +7 more
TL;DR: Picante is a software package that provides a comprehensive set of tools for analyzing the phylogenetic and trait diversity of ecological communities and performs tests for phylogenetic signal in trait distributions, community structure and species interactions.
References
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Journal ArticleDOI
R: A Language for Data Analysis and Graphics
Ross Ihaka,Robert Gentleman +1 more
TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
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TL;DR: A new method for estimating divergence times when evolutionary rates are variable across lineages, called nonparametric rate smoothing (NPRS), relies on minimization of ancestor-descendant local rate changes and is motivated by the likelihood that evolutionary Rates are autocorrelated in time.
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Testing macro–evolutionary models using incomplete molecular phylogenies
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TL;DR: New statistical methods are developed and used to infer past patterns of speciation and extinction from molecular phylogenies that suggest that, in some cases, speciation rates have decreased through time.