Bayesian inference of phylogeny and its impact on evolutionary biology. Huelsenbeck, J. P., Ronquist, F., Nielsen, R., & Bollback, J. P. Science, 294(5550):2310–2314, 2001.
doi  abstract   bibtex   
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.
@Article{huelsenbeck01bayesian,
  author    = {Huelsenbeck, J. P. and Ronquist, F. and Nielsen, R. and Bollback, J. P.},
  title     = {{Bayes}ian inference of phylogeny and its impact on evolutionary biology},
  journal   = {Science},
  year      = {2001},
  volume    = {294},
  number    = {5550},
  pages     = {2310--2314},
  abstract  = {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.},
  doi       = {10.1126/science.1065889},
  keywords  = {phylogenetics; MCMCMC; phylogenetic tree reconstruction; MrBayes; Bayesian analysis;},
  owner     = {Sebastian},
  pmid      = {11743192},
  timestamp = {2013.06.03},
}
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