J. Felsenstein, "Phylogenies from Restriction Sites: A MaximumLikelihood Approach," Evolution, 46, 159-173 (1992). Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Bootstrapping phylogenies: Large deviations and dispersion effects - Newton (1995) (Correct)
....Bootstrapping phylogenies 7 does not persist, as both probabilities converge to 1 as n 1, but may be significant for any fixed n. 4. Maximum likelihood and an example One approach to phylogenetic inference is to model the evolutionary process so as to restrict P to a parametric subset of S d . Felsenstein (1981, 1983, 1992), Barry and Hartigan (1987) Golding and Felsenstein (1990) and Navidi et al. 1993) among others, have constructed parametric models and have advocated maximum likelihood estimation. Such models are based on branching Markov processes describing the evolution of each site from its ancestral ....
Felsenstein, J. (1992). Phylogenies from restriction sites: A maximum likelihood approach. Evolution 46, 159--173.
Inferring Relatedness of a Macromolecule to a Sequence Database.. - Jin Kim (1996) (1 citation) (Correct)
.... (phylogenetic) relatedness between isolates (Nei Li 1979) If the positions of cleavage sites along the molecule (cleavage site map) are known as well as the fragment sizes, then several more accurate methods exist for estimate the relatedness between isolates (Nei Li 1979; DeBry Slade 1985; Felsenstein 1992; Holsinger Jansen 1993) Some work has been done on constructing cleav age site maps from digestion patterns (Pearson 1982; Fitch, Smith, Ralph 1983; Durand Bregegere 1984; Bellon 1988; Grigorjev Mironov 1990; Wright et al. 1994) but this work typically assumes that there are ....
Felsenstein, J. 1992. Phylogenies from restriction sites: a maximum-likelihood approach. Evolution 46(1):159--173.
Bayesian Phylogenetic Inference via Markov Chain Monte Carlo .. - Mau, Newton, Larget (1998) (6 citations) (Correct)
....two positions, the probability of a restriction site at each data site is approximately: 0 (1) 29 0 (1) 0:00708. Because a particular location in the genome is detected by the presence of a restriction site, only a minuscule fraction of the 170 kb (kilobases) enters the data. Following Felsenstein (1992), the likelihood (2) is conditioned on seeing at least one restriction site at each position L( Psi; fi) 1 Gamma p 0 ( Psi; fi) N where p 0 ( Psi; fi) is the probability that fy v = 0; v 2 Lg at one site. A complete Bayesian specification requires a prior on the propagation parameters fi = ....
Felsenstein, J. (1992). Phylogenies from restriction sites: a maximum likelihood approach.
Protein Phylogenetic Inference Using Maximum Likelihood With A.. - Matsuda (1996) (4 citations) (Correct)
No context found.
J. Felsenstein, "Phylogenies from Restriction Sites: A MaximumLikelihood Approach," Evolution, 46, 159-173 (1992).
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC