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GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective

Synteny conservation analysis is a well-established methodology to investigate the potential functional role of unknown prokaryotic genes. However, bioinformatic tools to reconstruct and visualise genomic contexts usually depend on slow computations, are restricted to narrow taxonomic ranges, and/or...

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Autores principales: Botas, Jorge, Rodríguez del Río, Álvaro, Giner-Lamia, Joaquín, Huerta-Cepas, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252766/
https://www.ncbi.nlm.nih.gov/pubmed/35639770
http://dx.doi.org/10.1093/nar/gkac367
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author Botas, Jorge
Rodríguez del Río, Álvaro
Giner-Lamia, Joaquín
Huerta-Cepas, Jaime
author_facet Botas, Jorge
Rodríguez del Río, Álvaro
Giner-Lamia, Joaquín
Huerta-Cepas, Jaime
author_sort Botas, Jorge
collection PubMed
description Synteny conservation analysis is a well-established methodology to investigate the potential functional role of unknown prokaryotic genes. However, bioinformatic tools to reconstruct and visualise genomic contexts usually depend on slow computations, are restricted to narrow taxonomic ranges, and/or do not allow for the functional and interactive exploration of neighbouring genes across different species. Here, we present GeCoViz, an online resource built upon 12 221 reference prokaryotic genomes that provides fast and interactive visualisation of custom genomic regions anchored by any target gene, which can be sought by either name, orthologous group (KEGGs, eggNOGs), protein domain (PFAM) or sequence. To facilitate functional and evolutionary interpretation, GeCoViz allows to customise the taxonomic scope of each analysis and provides comprehensive annotations of the neighbouring genes. Interactive visualisation options include, among others, the scaled representations of gene lengths and genomic distances, and on the fly calculation of synteny conservation of neighbouring genes, which can be highlighted based on custom thresholds. The resulting plots can be downloaded as high-quality images for publishing purposes. Overall, GeCoViz offers an easy-to-use, comprehensive, fast and interactive web-based tool for investigating the genomic context of prokaryotic genes, and is freely available at https://gecoviz.cgmlab.org
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spelling pubmed-92527662022-07-05 GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective Botas, Jorge Rodríguez del Río, Álvaro Giner-Lamia, Joaquín Huerta-Cepas, Jaime Nucleic Acids Res Web Server Issue Synteny conservation analysis is a well-established methodology to investigate the potential functional role of unknown prokaryotic genes. However, bioinformatic tools to reconstruct and visualise genomic contexts usually depend on slow computations, are restricted to narrow taxonomic ranges, and/or do not allow for the functional and interactive exploration of neighbouring genes across different species. Here, we present GeCoViz, an online resource built upon 12 221 reference prokaryotic genomes that provides fast and interactive visualisation of custom genomic regions anchored by any target gene, which can be sought by either name, orthologous group (KEGGs, eggNOGs), protein domain (PFAM) or sequence. To facilitate functional and evolutionary interpretation, GeCoViz allows to customise the taxonomic scope of each analysis and provides comprehensive annotations of the neighbouring genes. Interactive visualisation options include, among others, the scaled representations of gene lengths and genomic distances, and on the fly calculation of synteny conservation of neighbouring genes, which can be highlighted based on custom thresholds. The resulting plots can be downloaded as high-quality images for publishing purposes. Overall, GeCoViz offers an easy-to-use, comprehensive, fast and interactive web-based tool for investigating the genomic context of prokaryotic genes, and is freely available at https://gecoviz.cgmlab.org Oxford University Press 2022-05-26 /pmc/articles/PMC9252766/ /pubmed/35639770 http://dx.doi.org/10.1093/nar/gkac367 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Botas, Jorge
Rodríguez del Río, Álvaro
Giner-Lamia, Joaquín
Huerta-Cepas, Jaime
GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title_full GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title_fullStr GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title_full_unstemmed GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title_short GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
title_sort gecoviz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252766/
https://www.ncbi.nlm.nih.gov/pubmed/35639770
http://dx.doi.org/10.1093/nar/gkac367
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