Linked Life Data

6940127

Source:http://linkedlifedata.com/resource/pubmed/id/6940127

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1981-7-9
pubmed:abstractText
A simple method is proposed for constructing phylogenetic trees from distance matrices. The procedure for constructing tree topologies is similar to that of the unweighted pair-group method (UPG method) but makes corrections for unequal rates of evolution among lineages. The procedure for estimating branch lengths is the same as that of the Fitch and Margoliash method (F-M method) except that it allows no negative branch lengths. The performance of the present procedure for the construction of tree topologies is compared with that of the UPG method, the F-M method, Farris' method, and the modified Farris method by using Tateno's simulation outputs for nucleotide sequence divergence and his results for the performances of the latter four methods [Tateno, Y. (1978) Dissertation (Univ. Texas, Houston, TX). In this limited comparison, the present method performs considerably better than the UPG method and the F-M method and about equally well as the last two methods. The present method appears to be preferable to the UPG method for analysis of data from populations that have not differentiated much. Indeed, an application of the present method to gene frequency data from some Amerindian populations gives a tree topology far more reasonable than that obtained by the UPG method.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:volume
78
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1085-9
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1981
pubmed:articleTitle
Simple method for constructing phylogenetic trees from distance matrices.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.