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Approximating the double-cut-and-join distance between unsigned genomes

In this paper we study the problem of sorting unsigned genomes by double-cut-and-join operations, where genomes allow a mix of linear and circular chromosomes to be present. First, we formulate an equivalent optimization problem, called maximum cycle/path decomposition, which is aimed at finding a l...

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Detalles Bibliográficos
Autores principales: Chen, Xin, Sun, Ruimin, Yu, Jiadong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283313/
https://www.ncbi.nlm.nih.gov/pubmed/22151948
http://dx.doi.org/10.1186/1471-2105-12-S9-S17
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author Chen, Xin
Sun, Ruimin
Yu, Jiadong
author_facet Chen, Xin
Sun, Ruimin
Yu, Jiadong
author_sort Chen, Xin
collection PubMed
description In this paper we study the problem of sorting unsigned genomes by double-cut-and-join operations, where genomes allow a mix of linear and circular chromosomes to be present. First, we formulate an equivalent optimization problem, called maximum cycle/path decomposition, which is aimed at finding a largest collection of edge-disjoint cycles/AA-paths/AB-paths in a breakpoint graph. Then, we show that the problem of finding a largest collection of edge-disjoint cycles/AA-paths/AB-paths of length no more than l can be reduced to the well-known degree-bounded k-set packing problem with k = 2l. Finally, a polynomial-time approximation algorithm for the problem of sorting unsigned genomes by double-cut-and-join operations is devised, which achieves the approximation ratio [Image: see text] for any positive ε. For the restricted variation where each genome contains only one linear chromosome, the approximation ratio can be further improved to [Image: see text]
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spelling pubmed-32833132012-02-22 Approximating the double-cut-and-join distance between unsigned genomes Chen, Xin Sun, Ruimin Yu, Jiadong BMC Bioinformatics Proceedings In this paper we study the problem of sorting unsigned genomes by double-cut-and-join operations, where genomes allow a mix of linear and circular chromosomes to be present. First, we formulate an equivalent optimization problem, called maximum cycle/path decomposition, which is aimed at finding a largest collection of edge-disjoint cycles/AA-paths/AB-paths in a breakpoint graph. Then, we show that the problem of finding a largest collection of edge-disjoint cycles/AA-paths/AB-paths of length no more than l can be reduced to the well-known degree-bounded k-set packing problem with k = 2l. Finally, a polynomial-time approximation algorithm for the problem of sorting unsigned genomes by double-cut-and-join operations is devised, which achieves the approximation ratio [Image: see text] for any positive ε. For the restricted variation where each genome contains only one linear chromosome, the approximation ratio can be further improved to [Image: see text] BioMed Central 2011-10-05 /pmc/articles/PMC3283313/ /pubmed/22151948 http://dx.doi.org/10.1186/1471-2105-12-S9-S17 Text en Copyright ©2011 Chen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Chen, Xin
Sun, Ruimin
Yu, Jiadong
Approximating the double-cut-and-join distance between unsigned genomes
title Approximating the double-cut-and-join distance between unsigned genomes
title_full Approximating the double-cut-and-join distance between unsigned genomes
title_fullStr Approximating the double-cut-and-join distance between unsigned genomes
title_full_unstemmed Approximating the double-cut-and-join distance between unsigned genomes
title_short Approximating the double-cut-and-join distance between unsigned genomes
title_sort approximating the double-cut-and-join distance between unsigned genomes
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283313/
https://www.ncbi.nlm.nih.gov/pubmed/22151948
http://dx.doi.org/10.1186/1471-2105-12-S9-S17
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