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Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes
Author(s) -
Daniel Barker,
Andrew Meade,
Mark Pagel
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl558
Subject(s) - linkage (software) , lead (geology) , computer science , gene , genetic linkage , computational biology , genetics , biology , paleontology
We compare phylogenetic approaches for inferring functional gene links. The approaches detect independent instances of the correlated gain and loss of pairs of genes from species' genomes. We investigate the effect on results of basing evidence of correlations on two phylogenetic approaches, Dollo parsminony and maximum likelihood (ML). We further examine the effect of constraining the ML model by fixing the rate of gene gain at a low value, rather than estimating it from the data.

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