Modeling gene content across a phylogeny to determine when genes become associated-Reference-Cited by-同舟云学术

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Modeling gene content across a phylogeny to determine when genes become associated

Published:2024-03-25 Issue: Volume: Page:1-21
ISSN:1532-6349
Container-title:Stochastic Models
language:en
Short-container-title:Stochastic Models

Author:

Diao Jiahao¹²³^ORCID,O’Reilly Malgorzata M.¹⁴^ORCID,Holland Barbara R.¹²

Affiliation:

1. School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia

2. Australian Research Council Centre of Excellence for Plant Success, Australia

3. School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC Australia

4. Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers, Australia

Funder

Australian Research Council

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15326349.2024.2330082

Reference32 articles.

1. Anderson, D.;Burnham, K.; 2004, Model Selection and Multi-Model Inference, Vol. 63, 2nd ed. Springer-Verlag: New York, 2004; 10.

2. Evidence for massive gene exchange between archaeal and bacterial hyperthermophiles

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

4. Predicting Functional Gene Links from Phylogenetic-Statistical Analyses of Whole Genomes

5. Numerical solution of level dependent quasi-birth-and-death processes

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