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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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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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. |
format | Online Article Text |
id | pubmed-3526432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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