Bayes factors unmask highly variable information content, bias, and extreme influence in phylogenomic analyses
نویسندگان
چکیده
منابع مشابه
Expectation bias and information content
Argonne National Laboratory, Biosciences Division, Bldg 202, Room Q142, Argonne, IL 60439, USA, Helmholtz-Zentrum Berlin für Materialien und Energie, Macromolecular Crystallography (HZB-MX), Albert-EinsteinStrasse 15, D-12489 Berlin, Germany, PO Box 6483, Lawrenceville, NJ 08648-0483, USA, and School of Biological Sciences, University of Auckland, Private Bag 92-019, Auckland, New Zealand It ha...
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15 صفحه اولNaive binning improves phylogenomic analyses
MOTIVATION Species tree estimation in the presence of incomplete lineage sorting (ILS) is a major challenge for phylogenomic analysis. Although many methods have been developed for this problem, little is understood about the relative performance of these methods when estimated gene trees are poorly estimated, owing to inadequate phylogenetic signal. RESULTS We explored the performance of som...
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The remarkable antiquity, diversity, and significance in the ecology and evolution of Cetartiodactyla have inspired numerous attempts to resolve their phylogenetic relationships. However, previous analyses based on limited samples of nuclear genes or mitochondrial DNA sequences have generated results that were either inconsistent with one another, weakly supported, or highly sensitive to analyt...
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ژورنال
عنوان ژورنال: Systematic Biology
سال: 2016
ISSN: 1063-5157,1076-836X
DOI: 10.1093/sysbio/syw101