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• W2152121380 startingPage "464" @default.
• W2152121380 abstract "The relationship between phylogenetic accuracy and congruence between data partitions collected from the same taxa was explored for mitochondrial DNA sequences from two well-supported vertebrate phylogenies. An iterative procedure was adopted whereby accuracy, phylogenetic signal, and congruence were measured before and after modifying a simple reconstruction model, equally weighted parsimony. These modifications included transversion parsimony, successive weighting, and six-parameter parsimony. For the data partitions examined, there is a generally positive relationship between congruence and phylogenetic accuracy. If congruence increased without decreasing resolution or phylogenetic signal, this increased congruence was a good predictor of accuracy. If congruence increased as a result of poor resolution, the degree of congruence was not a good predictor of accuracy. For all sets of data partitions, six-parameter parsimony methods show a consistently positive relationship between congruence and accuracy. Unlike successive weighting, six-parameter parsimony methods were not strongly influenced by the starting tree." @default.
• W2152121380 created "2016-06-24" @default.
• W2152121380 creator A5011461065 @default.
• W2152121380 date "1997-09-01" @default.
• W2152121380 modified "2023-10-18" @default.
• W2152121380 title "Is Congruence between Data Partitions a Reliable Predictor of Phylogenetic Accuracy? Empirically Testing an Iterative Procedure for Choosing among Phylogenetic Methods" @default.
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• W2152121380 doi "https://doi.org/10.1093/sysbio/46.3.464" @default.
• W2152121380 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11975330" @default.
• W2152121380 hasPublicationYear "1997" @default.
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