A minimal descriptor of an ancestral recombinations graph

<p>Abstract</p> <p>Background</p> <p>Ancestral Recombinations Graph (ARG) is a phylogenetic structure that encodes both duplication events, such as mutations, as well as genetic exchange events, such as recombinations: this captures the (genetic) dynamics of a populatio...

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Main Authors: Palamara Pier, Parida Laxmi, Javed Asif
Format: Article
Language:English
Published: BMC 2011-02-01
Series:BMC Bioinformatics
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spelling doaj-ba4e6a4f56214808b1a8f23b7b5236bb2020-11-25T02:46:17ZengBMCBMC Bioinformatics1471-21052011-02-0112Suppl 1S610.1186/1471-2105-12-S1-S6A minimal descriptor of an ancestral recombinations graphPalamara PierParida LaxmiJaved Asif<p>Abstract</p> <p>Background</p> <p>Ancestral Recombinations Graph (ARG) is a phylogenetic structure that encodes both duplication events, such as mutations, as well as genetic exchange events, such as recombinations: this captures the (genetic) dynamics of a population evolving over generations.</p> <p>Results</p> <p>In this paper, we identify structure-preserving and samples-preserving core of an ARG <it>G</it> and call it the minimal descriptor ARG of <it>G</it>. Its structure-preserving characteristic ensures that all the branch lengths of the marginal trees of the minimal descriptor ARG are identical to that of <it>G</it> and the samples-preserving property asserts that the patterns of genetic variation in the samples of the minimal descriptor ARG are exactly the same as that of <it>G</it>. We also prove that even an unbounded <it>G</it> has a finite minimal descriptor, that continues to preserve certain (graph-theoretic) properties of <it>G</it> and for an appropriate class of ARGs, our estimate (Eqn 8) as well as empirical observation is that the expected reduction in the number of vertices is exponential.</p> <p>Conclusions</p> <p>Based on the definition of this lossless and bounded structure, we derive local properties of the vertices of a minimal descriptor ARG, which lend itself very naturally to the design of efficient sampling algorithms. We further show that a class of minimal descriptors, that of binary ARGs, models the standard coalescent exactly (Thm 6).</p>
collection DOAJ
language English
format Article
sources DOAJ
author Palamara Pier
Parida Laxmi
Javed Asif
spellingShingle Palamara Pier
Parida Laxmi
Javed Asif
A minimal descriptor of an ancestral recombinations graph
BMC Bioinformatics
author_facet Palamara Pier
Parida Laxmi
Javed Asif
author_sort Palamara Pier
title A minimal descriptor of an ancestral recombinations graph
title_short A minimal descriptor of an ancestral recombinations graph
title_full A minimal descriptor of an ancestral recombinations graph
title_fullStr A minimal descriptor of an ancestral recombinations graph
title_full_unstemmed A minimal descriptor of an ancestral recombinations graph
title_sort minimal descriptor of an ancestral recombinations graph
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2011-02-01
description <p>Abstract</p> <p>Background</p> <p>Ancestral Recombinations Graph (ARG) is a phylogenetic structure that encodes both duplication events, such as mutations, as well as genetic exchange events, such as recombinations: this captures the (genetic) dynamics of a population evolving over generations.</p> <p>Results</p> <p>In this paper, we identify structure-preserving and samples-preserving core of an ARG <it>G</it> and call it the minimal descriptor ARG of <it>G</it>. Its structure-preserving characteristic ensures that all the branch lengths of the marginal trees of the minimal descriptor ARG are identical to that of <it>G</it> and the samples-preserving property asserts that the patterns of genetic variation in the samples of the minimal descriptor ARG are exactly the same as that of <it>G</it>. We also prove that even an unbounded <it>G</it> has a finite minimal descriptor, that continues to preserve certain (graph-theoretic) properties of <it>G</it> and for an appropriate class of ARGs, our estimate (Eqn 8) as well as empirical observation is that the expected reduction in the number of vertices is exponential.</p> <p>Conclusions</p> <p>Based on the definition of this lossless and bounded structure, we derive local properties of the vertices of a minimal descriptor ARG, which lend itself very naturally to the design of efficient sampling algorithms. We further show that a class of minimal descriptors, that of binary ARGs, models the standard coalescent exactly (Thm 6).</p>
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