Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology

@article{Huelsenbeck2001BayesianIO,
  title={Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology},
  author={J. Huelsenbeck and F. Ronquist and R. Nielsen and J. Bollback},
  journal={Science},
  year={2001},
  volume={294},
  pages={2310 - 2314}
}
As a discipline, phylogenetics is becoming transformed by a flood of molecular data. These data allow broad questions to be asked about the history of life, but also present difficult statistical and computational problems. Bayesian inference of phylogeny brings a new perspective to a number of outstanding issues in evolutionary biology, including the analysis of large phylogenetic trees and complex evolutionary models and the detection of the footprint of natural selection in DNA sequences. 
Phylogeny estimation: traditional and Bayesian approaches
TLDR
The ability of the new approaches to address previously intractable questions is making phylogenetic analysis an essential tool in an increasing number of areas of genetic research. Expand
Bayesian inference of character evolution.
  • F. Ronquist
  • Computer Science, Medicine
  • Trends in ecology & evolution
  • 2004
TLDR
Recently introduced Bayesian statistical methods enable the study of character evolution while simultaneously accounting for both phylogenetic and mapping uncertainty, adding much needed credibility to the reconstruction of evolutionary history. Expand
Bayesian phylogenetic inference from animal mitochondrial genome arrangements
The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data are potentially more informative than deoxyribonucleic acid sequence data forExpand
Molecular Phylogeny Reconstruction
TLDR
Molecular phylogenetic inferences have been not only supportive of traditional phylogenies, but also instrumental in resolving some difficult questions regarding branching orders within many evolutionary lineages. Expand
Molecular phylogenetic analyses and real-life data
TLDR
Since the 1960s, researchers have published numerous studies addressing the problems of molecular phylogenetic analysis methods in theory and practice, but challenges still remain. Expand
An introduction to phylogenetic analyses and modelling in ecology
TLDR
The progress made in statistical phylogenetics is reviewed, the various methods are compared and the impact and use of phylogenetics in ecology is looked at. Expand
Recent Progress of Sequences Analysis Methods in Molecular Evolutionary Biology
TLDR
The significance of likelihood ratio test and Bayesian inference in the hypothesis_testing of molecular evolution and phylogeny reconstruction and some successful application of new methods was presented. Expand
Bayesian Phylogenetic Inference : Estimating Diversification Rates from Reconstructed Phylogenies
TLDR
This research presents a new approach to phylogeny that combines quantitative and qualitative analysis of the evolutionary relationship between species to derive a single tree-like structure called a phylogeny. Expand
Phylogenetic Analyses: A Toolbox Expanding towards Bayesian Methods
TLDR
It is shown that Bayesian methods are under heavy development, as they offer the possibility to solve a number of long-standing issues and to integrate several steps of the phylogenetic analyses into a single framework. Expand
The Role of Phylogenetics in Comparative Genetics1
TLDR
This work has shown that comparative comparisons of plant species or gene sequences in a phylogenetic context can provide the most meaningful insights into biology. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 34 REFERENCES
Ecological morphology : integrative organismal biology
TLDR
This book provides an overview of the achievements and potential of ecological morphology for all biologists and students interested in the way animal design, ecology and evolution interact. Expand
… genetics …
TLDR
A possible genetic aetiology to CSVT, provides reliable risk estimates and allows accurate comparison with genetic risk in other vascular conditions is supported. Expand
Bayesian Data Analysis
TLDR
Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided. Expand
Mol. Biol. Evol
  • Mol. Biol. Evol
  • 2001
Supplementary material is available on Science Online at www.sciencemag.org/cgi/content/full
  • Bioinformatics
  • 2001
This research was supported by a Swedish National Research Council grant (F.R.) and NSF grants DEB0075406 ( J.P.H.) and DEB-0089487 (R.N.)
  • 2001
Bot. J. Linn. Soc
  • Bot. J. Linn. Soc
  • 2000
Proc. R. Soc. Lond. B
  • Proc. R. Soc. Lond. B
  • 2000
Syst. Biol
  • Syst. Biol
  • 2000
Syst. Biol
  • Syst. Biol
  • 2000
...
1
2
3
4
...