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A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case
We present a bacterial genome computational analysis pipeline, called GenVar. The pipeline, based on the program GeneWise, is designed to analyze an annotated genome and automatically identify missed gene calls and sequence variants such as genes with disrupted reading frames (split genes) and those...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919506/ https://www.ncbi.nlm.nih.gov/pubmed/17553834 http://dx.doi.org/10.1093/nar/gkm377 |
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author | Yu, G.X. Snyder, E.E. Boyle, S.M. Crasta, O.R. Czar, M. Mane, S.P. Purkayastha, A. Sobral, B. Setubal, J.C. |
author_facet | Yu, G.X. Snyder, E.E. Boyle, S.M. Crasta, O.R. Czar, M. Mane, S.P. Purkayastha, A. Sobral, B. Setubal, J.C. |
author_sort | Yu, G.X. |
collection | PubMed |
description | We present a bacterial genome computational analysis pipeline, called GenVar. The pipeline, based on the program GeneWise, is designed to analyze an annotated genome and automatically identify missed gene calls and sequence variants such as genes with disrupted reading frames (split genes) and those with insertions and deletions (indels). For a given genome to be analyzed, GenVar relies on a database containing closely related genomes (such as other species or strains) as well as a few additional reference genomes. GenVar also helps identify gene disruptions probably caused by sequencing errors. We exemplify GenVar's capabilities by presenting results from the analysis of four Brucella genomes. Brucella is an important human pathogen and zoonotic agent. The analysis revealed hundreds of missed gene calls, new split genes and indels, several of which are species specific and hence provide valuable clues to the understanding of the genome basis of Brucella pathogenicity and host specificity. |
format | Text |
id | pubmed-1919506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-19195062007-07-24 A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case Yu, G.X. Snyder, E.E. Boyle, S.M. Crasta, O.R. Czar, M. Mane, S.P. Purkayastha, A. Sobral, B. Setubal, J.C. Nucleic Acids Res Computational Biology We present a bacterial genome computational analysis pipeline, called GenVar. The pipeline, based on the program GeneWise, is designed to analyze an annotated genome and automatically identify missed gene calls and sequence variants such as genes with disrupted reading frames (split genes) and those with insertions and deletions (indels). For a given genome to be analyzed, GenVar relies on a database containing closely related genomes (such as other species or strains) as well as a few additional reference genomes. GenVar also helps identify gene disruptions probably caused by sequencing errors. We exemplify GenVar's capabilities by presenting results from the analysis of four Brucella genomes. Brucella is an important human pathogen and zoonotic agent. The analysis revealed hundreds of missed gene calls, new split genes and indels, several of which are species specific and hence provide valuable clues to the understanding of the genome basis of Brucella pathogenicity and host specificity. Oxford University Press 2007-06 2007-06-06 /pmc/articles/PMC1919506/ /pubmed/17553834 http://dx.doi.org/10.1093/nar/gkm377 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Yu, G.X. Snyder, E.E. Boyle, S.M. Crasta, O.R. Czar, M. Mane, S.P. Purkayastha, A. Sobral, B. Setubal, J.C. A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title | A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title_full | A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title_fullStr | A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title_full_unstemmed | A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title_short | A versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with Brucella as a use case |
title_sort | versatile computational pipeline for bacterial genome annotation improvement and comparative analysis, with brucella as a use case |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1919506/ https://www.ncbi.nlm.nih.gov/pubmed/17553834 http://dx.doi.org/10.1093/nar/gkm377 |
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