Accommodating phylogenetic uncertainty in evolutionary studies.
By John P. Huelsenbeck, Bruce Rannala, John P. Masly. Science, 2000
327 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Paleontology
View Paper: https://www.semanticscholar.org/paper/23f955d3e9c06490a9f7403318a8e35b166ec8bc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- John P. Huelsenbeck
- Jonathan P. Bollback
- Liam J. Revell
- Johan A. A. Nylander
- F. Lutzoni
- John Heraty
- M. Buffington
- Michael E. Alfaro
In Molecular Biology
- Rob Knight
- Noah Fierer
- C. Lauber
- John P. Huelsenbeck
- Jonathan P. Bollback
- Micah Hamady
- Johan A. A. Nylander
- F. Lutzoni
In Paleontology
- Liam J. Revell
- John P. Huelsenbeck
- Jonathan P. Bollback
- Johan A. A. Nylander
- John Heraty
- M. Buffington
- Paul O. Lewis
- Michael E. Alfaro
Citations in the corpus
- Biological and biomedical implications of the co-evolution of pathogens and their hosts (2002, methodology): “Improved statistical methods for distinguishing genetic divergence from adaptive causes of correlated genetic change across population”
- Sexual Conflict, Ecology, and Breeding Systems in Shorebirds (2006, methodology): “cross-species studies are now regarded as the “gold-standard” (Huelsenbeck et al. 2000).”
- The seven deadly sins of comparative analysis (2009, methodology): “Finally, increasingly it is possible to quantify the uncertainty in phylogenetic reconstructions and to directly incorporate this into comparative tests using Bayesian methods (e.g. Huelsenbeck, 2000).”
- The phylogeny and evolution of Figitidae (Hymenoptera: Cynipoidea) (2007, background): “…straightforward (theoretical) interpretation of probabilities (Huelsenbeck and Rannala, 2004) and the way uncertainties in trees and parameter values can be accommodated: instead of basing conclusions on point estimates, uncertainty in tree topology can be integrated out (Huelsenbeck et al., 2000).”
- Phylogenetic relationships and species concepts in Parmelia s. str. (Parmeliaceae) inferred from nuclear ITS rDNA and β-tubulin sequences (2004, methodology): “Several Parmelia s. str. nuITS and partial -tubulin sequences from GenBank (http://www.ncbi.nlm.nih. gov) were included in the analyses, and pertinent collections are indicated in Table 1.”
- Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation (2019, background): “only trees rather than the consensus tree alone [33,34].”
- SIMMAP: Stochastic character mapping of discrete traits on phylogenies (2006, methodology): “The Bayesian approach accommodates phylogenetic uncertainty by evaluating character maps on trees sampled from the posterior distribution [11,12].”
- Innovative Approaches to the Relationship Between Diet and Mandibular Morphology in Primates (2012, background): “2001), results should not be conditioned on a single phylogenetic hypothesis (Huelsenbeck et al. 2000; Pagel and Lutzoni 2002).”
- A likelihood approach to estimating phylogeny from discrete morphological character data. (2001, methodology): “Furthermore, the Bayesian approach makes it possible to test hypotheses involving phylogenies without depending on any particular hypothesized tree (e.g., Huelsenbeck, 2000b), so likelihood models are expected to play an ever-increasing role in systematics and related disciplines.”
- Bayes or bootstrap? A simulation study comparing the performance of Bayesian Markov chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidence. (2003, background): “These measures allow workers to identify trees or parts of a tree that are well supported by the data and thus adequate to serve as the basis for evolutionary inference of biological systems (Huelsenbeck, Rannala, and Masly 2000; Lutzoni et al. 2001; Pagel and Lutzoni 2002).”
- Stochastic mapping of morphological characters. (2003, methodology): “…under a stochastic process, such as the birth–death process (Losos, 1994; Martins, 1996) or examining the evolution of a character on all trees with the results from each tree weighted by the probability of the tree being correct (Losos and Miles, 1994; Pagel, 1994; Huelsenbeck et al., 2000).”