The application of maximum likelihood techniques to the estimation
of evolutionary trees from nucleic acid sequence data is discussed.
A computationally feasible method for finding such maximum likelihood
estimates is developed, and a computer program is available. This
method has advantages over the traditional parsimony algorithms,
which can give misleading results if rates of evolution differ in
different lineages. It also allows the testing of hypotheses about
the constancy of evolutionary rates by likelihood ratio tests, and
gives rough indication of the error of ;the estimate of the tree.
%0 Journal Article
%1 felsenstein1981
%A Felsenstein, J.
%D 1981
%J J Mol Evol
%K Base Biological Biological; Computers; DNA, Evolution; Mathematics; Models, Phylogeny Sequence; genetics;
%N 6
%P 368--376
%T Evolutionary trees from DNA sequences: a maximum likelihood approach.
%V 17
%X The application of maximum likelihood techniques to the estimation
of evolutionary trees from nucleic acid sequence data is discussed.
A computationally feasible method for finding such maximum likelihood
estimates is developed, and a computer program is available. This
method has advantages over the traditional parsimony algorithms,
which can give misleading results if rates of evolution differ in
different lineages. It also allows the testing of hypotheses about
the constancy of evolutionary rates by likelihood ratio tests, and
gives rough indication of the error of ;the estimate of the tree.
@article{felsenstein1981,
__markedentry = {[psaraiva:1]},
abstract = {The application of maximum likelihood techniques to the estimation
of evolutionary trees from nucleic acid sequence data is discussed.
A computationally feasible method for finding such maximum likelihood
estimates is developed, and a computer program is available. This
method has advantages over the traditional parsimony algorithms,
which can give misleading results if rates of evolution differ in
different lineages. It also allows the testing of hypotheses about
the constancy of evolutionary rates by likelihood ratio tests, and
gives rough indication of the error of ;the estimate of the tree.},
added-at = {2012-01-04T14:44:33.000+0100},
author = {Felsenstein, J.},
biburl = {https://www.bibsonomy.org/bibtex/21b2b887fe72148db197e51d751a4f6a0/psaraiva},
interhash = {f5eb8e4ba4fac81226655247b9beec18},
intrahash = {1b2b887fe72148db197e51d751a4f6a0},
journal = {J Mol Evol},
keywords = {Base Biological Biological; Computers; DNA, Evolution; Mathematics; Models, Phylogeny Sequence; genetics;},
language = {english},
medline-pst = {ppublish},
number = 6,
owner = {psaraiva},
pages = {368--376},
pmid = {7288891},
timestamp = {2012-01-04T14:44:34.000+0100},
title = {Evolutionary trees from DNA sequences: a maximum likelihood approach.},
volume = 17,
year = 1981
}