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CAMBer: an approach to support comparative analysis of multiple bacterial strains

BACKGROUND: There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising applications such as gaining insights into bacterial drug resistance. RES...

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Detalles Bibliográficos
Autores principales: Wozniak, Michal, Wong, Limsoon, Tiuryn, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194237/
https://www.ncbi.nlm.nih.gov/pubmed/21989220
http://dx.doi.org/10.1186/1471-2164-12-S2-S6
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author Wozniak, Michal
Wong, Limsoon
Tiuryn, Jerzy
author_facet Wozniak, Michal
Wong, Limsoon
Tiuryn, Jerzy
author_sort Wozniak, Michal
collection PubMed
description BACKGROUND: There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising applications such as gaining insights into bacterial drug resistance. RESULTS: Here, we propose CAMBer as an approach to support comparative analysis of multiple bacterial strains. CAMBer produces what we called multigene families. Each multigene family reveals genes that are in one-to-one correspondence in the bacterial strains, thereby permitting their annotations to be integrated. We present results of our method applied to three human pathogens: Escherichia coli, Mycobacterium tuberculosis and Staphylococcus aureus. CONCLUSIONS: As a result, more accurate and more comprehensive annotations of the bacterial strains can be produced.
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spelling pubmed-31942372011-10-17 CAMBer: an approach to support comparative analysis of multiple bacterial strains Wozniak, Michal Wong, Limsoon Tiuryn, Jerzy BMC Genomics Proceedings BACKGROUND: There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising applications such as gaining insights into bacterial drug resistance. RESULTS: Here, we propose CAMBer as an approach to support comparative analysis of multiple bacterial strains. CAMBer produces what we called multigene families. Each multigene family reveals genes that are in one-to-one correspondence in the bacterial strains, thereby permitting their annotations to be integrated. We present results of our method applied to three human pathogens: Escherichia coli, Mycobacterium tuberculosis and Staphylococcus aureus. CONCLUSIONS: As a result, more accurate and more comprehensive annotations of the bacterial strains can be produced. BioMed Central 2011-07-27 /pmc/articles/PMC3194237/ /pubmed/21989220 http://dx.doi.org/10.1186/1471-2164-12-S2-S6 Text en Copyright ©2011 Wozniak 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
Wozniak, Michal
Wong, Limsoon
Tiuryn, Jerzy
CAMBer: an approach to support comparative analysis of multiple bacterial strains
title CAMBer: an approach to support comparative analysis of multiple bacterial strains
title_full CAMBer: an approach to support comparative analysis of multiple bacterial strains
title_fullStr CAMBer: an approach to support comparative analysis of multiple bacterial strains
title_full_unstemmed CAMBer: an approach to support comparative analysis of multiple bacterial strains
title_short CAMBer: an approach to support comparative analysis of multiple bacterial strains
title_sort camber: an approach to support comparative analysis of multiple bacterial strains
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194237/
https://www.ncbi.nlm.nih.gov/pubmed/21989220
http://dx.doi.org/10.1186/1471-2164-12-S2-S6
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