dorsal/arxiv
View SchemaBiological applications of the theory of birth-and-death processes
| Authors | Artem S. Novozhilov, Georgy P. Karev, Eugene V. Koonin |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0507026 |
| URL | https://arxiv.org/abs/q-bio/0507026 |
Abstract
In this review, we discuss the applications of the theory of birth-and-death processes to problems in biology, primarily, those of evolutionary genomics. The mathematical principles of the theory of these processes are briefly described. Birth-and-death processes, with some straightforward additions such as innovation, are a simple, natural formal framework for modeling a vast variety of biological processes such as population dynamics, speciation, genome evolution, including growth of paralogous gene families and horizontal gene transfer, and somatic evolution of cancers. We further describe how empirical data, e.g., distributions of paralogous gene family size, can be used to choose the model that best reflects the actual course of evolution among different versions of birth-death-and-innovation models. It is concluded that birth-and-death processes, thanks to their mathematical transparency, flexibility and relevance to fundamental biological process, are going to be an indispensable mathematical tool for the burgeoning field of systems biology.
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"abstract": "In this review, we discuss the applications of the theory of birth-and-death\nprocesses to problems in biology, primarily, those of evolutionary genomics.\nThe mathematical principles of the theory of these processes are briefly\ndescribed. Birth-and-death processes, with some straightforward additions such\nas innovation, are a simple, natural formal framework for modeling a vast\nvariety of biological processes such as population dynamics, speciation, genome\nevolution, including growth of paralogous gene families and horizontal gene\ntransfer, and somatic evolution of cancers. We further describe how empirical\ndata, e.g., distributions of paralogous gene family size, can be used to choose\nthe model that best reflects the actual course of evolution among different\nversions of birth-death-and-innovation models. It is concluded that\nbirth-and-death processes, thanks to their mathematical transparency,\nflexibility and relevance to fundamental biological process, are going to be an\nindispensable mathematical tool for the burgeoning field of systems biology.",
"arxiv_id": "q-bio/0507026",
"authors": [
"Artem S. Novozhilov",
"Georgy P. Karev",
"Eugene V. Koonin"
],
"categories": [
"q-bio.QM",
"q-bio.GN"
],
"title": "Biological applications of the theory of birth-and-death processes",
"url": "https://arxiv.org/abs/q-bio/0507026"
},
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