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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