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MGcV: the microbial genomic context viewer for comparative genome analysis

BACKGROUND: Conserved gene context is used in many types of comparative genome analyses. It is used to provide leads on gene function, to guide the discovery of regulatory sequences, but also to aid in the reconstruction of metabolic networks. We present the Microbial Genomic context Viewer (MGcV),...

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Detalles Bibliográficos
Autores principales: Overmars, Lex, Kerkhoven, Robert, Siezen, Roland J, Francke, Christof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3639932/
https://www.ncbi.nlm.nih.gov/pubmed/23547764
http://dx.doi.org/10.1186/1471-2164-14-209
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author Overmars, Lex
Kerkhoven, Robert
Siezen, Roland J
Francke, Christof
author_facet Overmars, Lex
Kerkhoven, Robert
Siezen, Roland J
Francke, Christof
author_sort Overmars, Lex
collection PubMed
description BACKGROUND: Conserved gene context is used in many types of comparative genome analyses. It is used to provide leads on gene function, to guide the discovery of regulatory sequences, but also to aid in the reconstruction of metabolic networks. We present the Microbial Genomic context Viewer (MGcV), an interactive, web-based application tailored to strengthen the practice of manual comparative genome context analysis for bacteria. RESULTS: MGcV is a versatile, easy-to-use tool that renders a visualization of the genomic context of any set of selected genes, genes within a phylogenetic tree, genomic segments, or regulatory elements. It is tailored to facilitate laborious tasks such as the interactive annotation of gene function, the discovery of regulatory elements, or the sequence-based reconstruction of gene regulatory networks. We illustrate that MGcV can be used in gene function annotation by visually integrating information on prokaryotic genes, like their annotation as available from NCBI with other annotation data such as Pfam domains, sub-cellular location predictions and gene-sequence characteristics such as GC content. We also illustrate the usefulness of the interactive features that allow the graphical selection of genes to facilitate data gathering (e.g. upstream regions, ID’s or annotation), in the analysis and reconstruction of transcription regulation. Moreover, putative regulatory elements and their corresponding scores or data from RNA-seq and microarray experiments can be uploaded, visualized and interpreted in (ranked-) comparative context maps. The ranked maps allow the interpretation of predicted regulatory elements and experimental data in light of each other. CONCLUSION: MGcV advances the manual comparative analysis of genes and regulatory elements by providing fast and flexible integration of gene related data combined with straightforward data retrieval. MGcV is available at http://mgcv.cmbi.ru.nl.
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spelling pubmed-36399322013-05-01 MGcV: the microbial genomic context viewer for comparative genome analysis Overmars, Lex Kerkhoven, Robert Siezen, Roland J Francke, Christof BMC Genomics Software BACKGROUND: Conserved gene context is used in many types of comparative genome analyses. It is used to provide leads on gene function, to guide the discovery of regulatory sequences, but also to aid in the reconstruction of metabolic networks. We present the Microbial Genomic context Viewer (MGcV), an interactive, web-based application tailored to strengthen the practice of manual comparative genome context analysis for bacteria. RESULTS: MGcV is a versatile, easy-to-use tool that renders a visualization of the genomic context of any set of selected genes, genes within a phylogenetic tree, genomic segments, or regulatory elements. It is tailored to facilitate laborious tasks such as the interactive annotation of gene function, the discovery of regulatory elements, or the sequence-based reconstruction of gene regulatory networks. We illustrate that MGcV can be used in gene function annotation by visually integrating information on prokaryotic genes, like their annotation as available from NCBI with other annotation data such as Pfam domains, sub-cellular location predictions and gene-sequence characteristics such as GC content. We also illustrate the usefulness of the interactive features that allow the graphical selection of genes to facilitate data gathering (e.g. upstream regions, ID’s or annotation), in the analysis and reconstruction of transcription regulation. Moreover, putative regulatory elements and their corresponding scores or data from RNA-seq and microarray experiments can be uploaded, visualized and interpreted in (ranked-) comparative context maps. The ranked maps allow the interpretation of predicted regulatory elements and experimental data in light of each other. CONCLUSION: MGcV advances the manual comparative analysis of genes and regulatory elements by providing fast and flexible integration of gene related data combined with straightforward data retrieval. MGcV is available at http://mgcv.cmbi.ru.nl. BioMed Central 2013-04-01 /pmc/articles/PMC3639932/ /pubmed/23547764 http://dx.doi.org/10.1186/1471-2164-14-209 Text en Copyright © 2013 Overmars 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 Software
Overmars, Lex
Kerkhoven, Robert
Siezen, Roland J
Francke, Christof
MGcV: the microbial genomic context viewer for comparative genome analysis
title MGcV: the microbial genomic context viewer for comparative genome analysis
title_full MGcV: the microbial genomic context viewer for comparative genome analysis
title_fullStr MGcV: the microbial genomic context viewer for comparative genome analysis
title_full_unstemmed MGcV: the microbial genomic context viewer for comparative genome analysis
title_short MGcV: the microbial genomic context viewer for comparative genome analysis
title_sort mgcv: the microbial genomic context viewer for comparative genome analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3639932/
https://www.ncbi.nlm.nih.gov/pubmed/23547764
http://dx.doi.org/10.1186/1471-2164-14-209
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