Results 231 to 240 of about 13,467,690 (274)

Molecular phylogeny of 16S rRNA sequences from Ugba (Pentaclethra macrophylla) seeds. [PDF]

open access: yesAccess Microbiol
Nwaiwu O   +12 more
europepmc   +1 more source

A Comparison of Ancestral State Reconstruction Methods for Quantitative Characters [PDF]

open access: yesJournal of Theoretical Biology, 2016
Abstract Choosing an ancestral state reconstruction method among the alternatives available for quantitative characters may be puzzling. We present here a comparison of five of them, namely the maximum likelihood, restricted maximum likelihood, generalized least squares, phylogenetic independent contrasts and squared parsimony methods.
Gilles Didier, Manuela Royer-Carenzi
exaly   +5 more sources

Testing the Accuracy of Methods for Reconstructing Ancestral States of Continuous Characters [PDF]

open access: yesProceedings of the Royal Society of London Series B, Biological Sciences, 2002
Many methods are available for estimating ancestral values of continuous characteristics, but little is known about how well these methods perform. Here we compare six methods: linear parsimony, squared-change parsimony, one-parameter maximum likelihood (Brownian motion), two-parameter maximum likelihood (Ornstein-Uhlenbeck process), and independent ...
Andy Purvis
exaly   +3 more sources

Choosing the Best Ancestral Character State Reconstruction Method [PDF]

open access: yesMathematical Biosciences, 2013
Despite its intrinsic difficulty, ancestral character state reconstruction is an essential tool for testing evolutionary hypothesis. Two major classes of approaches to this question can be distinguished: parsimony- or likelihood-based approaches. We focus here on the second class of methods, more specifically on approaches based on continuous-time ...
Pierre Pontarotti   +2 more
exaly   +4 more sources
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Ancestral inference: I. The problem and the method

Annals of Human Genetics, 1978
SummaryA method for inferring the ancestral genotypes for the founders of a population is developed. This method uses the algorithms for the computation of probabilities on pedigrees of arbitrary complexity, developed by Cannings et at. (1978) and implemented by Thompson (19773).
E A, Thompson   +2 more
openaire   +2 more sources

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