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Assessing the Quality of Whole Genome Alignments in Bacteria

Comparing genomes is an essential preliminary step to solve many problems in biology. Matching long similar segments between two genomes is a precondition for their evolutionary, genetic, and genome rearrangement analyses. Though various comparison methods have been developed in recent years, a quan...

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Detalles Bibliográficos
Autores principales: Swidan, Firas, Shamir, Ron
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798158/
https://www.ncbi.nlm.nih.gov/pubmed/20049164
http://dx.doi.org/10.1155/2009/749027
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author Swidan, Firas
Shamir, Ron
author_facet Swidan, Firas
Shamir, Ron
author_sort Swidan, Firas
collection PubMed
description Comparing genomes is an essential preliminary step to solve many problems in biology. Matching long similar segments between two genomes is a precondition for their evolutionary, genetic, and genome rearrangement analyses. Though various comparison methods have been developed in recent years, a quantitative assessment of their performance is lacking. Here, we describe two families of assessment measures whose purpose is to evaluate bacteria-oriented comparison tools. The first measure is based on how well the genome segmentation fits the gene annotation of the studied organisms; the second uses the number of segments created by the segmentation and the percentage of the two genomes that are conserved. The effectiveness of the two measures is demonstrated by applying them to the results of genome comparison tools obtained on 41 pairs of bacterial species. Despite the difference in the nature of the two types of measurements, both show consistent results, providing insights into the subtle differences between the mapping tools.
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spelling pubmed-27981582010-01-04 Assessing the Quality of Whole Genome Alignments in Bacteria Swidan, Firas Shamir, Ron Adv Bioinformatics Research Article Comparing genomes is an essential preliminary step to solve many problems in biology. Matching long similar segments between two genomes is a precondition for their evolutionary, genetic, and genome rearrangement analyses. Though various comparison methods have been developed in recent years, a quantitative assessment of their performance is lacking. Here, we describe two families of assessment measures whose purpose is to evaluate bacteria-oriented comparison tools. The first measure is based on how well the genome segmentation fits the gene annotation of the studied organisms; the second uses the number of segments created by the segmentation and the percentage of the two genomes that are conserved. The effectiveness of the two measures is demonstrated by applying them to the results of genome comparison tools obtained on 41 pairs of bacterial species. Despite the difference in the nature of the two types of measurements, both show consistent results, providing insights into the subtle differences between the mapping tools. Hindawi Publishing Corporation 2009 2009-11-15 /pmc/articles/PMC2798158/ /pubmed/20049164 http://dx.doi.org/10.1155/2009/749027 Text en Copyright © 2009 F. Swidan and R. Shamir. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Swidan, Firas
Shamir, Ron
Assessing the Quality of Whole Genome Alignments in Bacteria
title Assessing the Quality of Whole Genome Alignments in Bacteria
title_full Assessing the Quality of Whole Genome Alignments in Bacteria
title_fullStr Assessing the Quality of Whole Genome Alignments in Bacteria
title_full_unstemmed Assessing the Quality of Whole Genome Alignments in Bacteria
title_short Assessing the Quality of Whole Genome Alignments in Bacteria
title_sort assessing the quality of whole genome alignments in bacteria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798158/
https://www.ncbi.nlm.nih.gov/pubmed/20049164
http://dx.doi.org/10.1155/2009/749027
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