Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes

Daniel Barker; Andrew Meade; Mark Pagel

doi:10.1093/bioinformatics/btl558

Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes

Daniel Barker
, Andrew Meade
, Mark Pagel

School of Biological Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	14-20
Journal	Bioinformatics
Volume	23
DOIs	https://doi.org/10.1093/bioinformatics/btl558
Publication status	Published - 2007

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10.1093/bioinformatics/btl558

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title = "Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes",

author = "Daniel Barker and Andrew Meade and Mark Pagel",

year = "2007",

doi = "10.1093/bioinformatics/btl558",

language = "English",

volume = "23",

pages = "14--20",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes

AU - Barker, Daniel

AU - Meade, Andrew

AU - Pagel, Mark

PY - 2007

Y1 - 2007

UR - https://doi.org/10.7488/ds/3165

U2 - 10.1093/bioinformatics/btl558

DO - 10.1093/bioinformatics/btl558

M3 - Article

SN - 1367-4803

VL - 23

SP - 14

EP - 20

JO - Bioinformatics

JF - Bioinformatics

ER -

Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes

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Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes

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bms_runner: script using BayesTraits to implement methods from 'Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes'

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