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Multiple genome comparison based on overlap regions of pairwise local alignments

BACKGROUND: Mancheron, Uricaru and Rivals (Nucleic Acids Res. 39:e101, 2011) recently introduced a new approach in the context of multiple genome comparison that allows to detect regions of strong overlaps in a set of pairwise local alignments between several reference genomes and one target genome....

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Detalles Bibliográficos
Autores principales: Jahn, Katharina, Sudek, Henner, Stoye, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526432/
https://www.ncbi.nlm.nih.gov/pubmed/23281942
http://dx.doi.org/10.1186/1471-2105-13-S19-S7
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author Jahn, Katharina
Sudek, Henner
Stoye, Jens
author_facet Jahn, Katharina
Sudek, Henner
Stoye, Jens
author_sort Jahn, Katharina
collection PubMed
description BACKGROUND: Mancheron, Uricaru and Rivals (Nucleic Acids Res. 39:e101, 2011) recently introduced a new approach in the context of multiple genome comparison that allows to detect regions of strong overlaps in a set of pairwise local alignments between several reference genomes and one target genome. Such overlap regions are an important source of information in genome annotation. RESULTS: In this paper we introduce a series of algorithms that improve over the approach of Mancheron et al., both in terms of computational complexity and in practical runtime. We also extend the problem definition such that overlaps to different reference genomes can be rated differently and regions overlapping only a subset of the reference genomes are detected.
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spelling pubmed-35264322013-01-10 Multiple genome comparison based on overlap regions of pairwise local alignments Jahn, Katharina Sudek, Henner Stoye, Jens BMC Bioinformatics Proceedings BACKGROUND: Mancheron, Uricaru and Rivals (Nucleic Acids Res. 39:e101, 2011) recently introduced a new approach in the context of multiple genome comparison that allows to detect regions of strong overlaps in a set of pairwise local alignments between several reference genomes and one target genome. Such overlap regions are an important source of information in genome annotation. RESULTS: In this paper we introduce a series of algorithms that improve over the approach of Mancheron et al., both in terms of computational complexity and in practical runtime. We also extend the problem definition such that overlaps to different reference genomes can be rated differently and regions overlapping only a subset of the reference genomes are detected. BioMed Central 2012-12-19 /pmc/articles/PMC3526432/ /pubmed/23281942 http://dx.doi.org/10.1186/1471-2105-13-S19-S7 Text en Copyright ©2012 Jahn 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
Jahn, Katharina
Sudek, Henner
Stoye, Jens
Multiple genome comparison based on overlap regions of pairwise local alignments
title Multiple genome comparison based on overlap regions of pairwise local alignments
title_full Multiple genome comparison based on overlap regions of pairwise local alignments
title_fullStr Multiple genome comparison based on overlap regions of pairwise local alignments
title_full_unstemmed Multiple genome comparison based on overlap regions of pairwise local alignments
title_short Multiple genome comparison based on overlap regions of pairwise local alignments
title_sort multiple genome comparison based on overlap regions of pairwise local alignments
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526432/
https://www.ncbi.nlm.nih.gov/pubmed/23281942
http://dx.doi.org/10.1186/1471-2105-13-S19-S7
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