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WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes

The structural and conformational organization of chromosomes is crucial for gene expression regulation in eukaryotes and prokaryotes as well. Up to date, gene expression data generated using either microarray or RNA-sequencing are available for many bacterial genomes. However, differential gene exp...

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Autores principales: Puccio, Simone, Grillo, Giorgio, Licciulli, Flavio, Severgnini, Marco, Liuni, Sabino, Bicciato, Silvio, De Bellis, Gianluca, Ferrari, Francesco, Peano, Clelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570229/
https://www.ncbi.nlm.nih.gov/pubmed/28460063
http://dx.doi.org/10.1093/nar/gkx329
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author Puccio, Simone
Grillo, Giorgio
Licciulli, Flavio
Severgnini, Marco
Liuni, Sabino
Bicciato, Silvio
De Bellis, Gianluca
Ferrari, Francesco
Peano, Clelia
author_facet Puccio, Simone
Grillo, Giorgio
Licciulli, Flavio
Severgnini, Marco
Liuni, Sabino
Bicciato, Silvio
De Bellis, Gianluca
Ferrari, Francesco
Peano, Clelia
author_sort Puccio, Simone
collection PubMed
description The structural and conformational organization of chromosomes is crucial for gene expression regulation in eukaryotes and prokaryotes as well. Up to date, gene expression data generated using either microarray or RNA-sequencing are available for many bacterial genomes. However, differential gene expression is usually investigated with methods considering each gene independently, thus not taking into account the physical localization of genes along a bacterial chromosome. Here, we present WoPPER, a web tool integrating gene expression and genomic annotations to identify differentially expressed chromosomal regions in bacteria. RNA-sequencing or microarray-based gene expression data are provided as input, along with gene annotations. The user can select genomic annotations from an internal database including 2780 bacterial strains, or provide custom genomic annotations. The analysis produces as output the lists of positionally related genes showing a coordinated trend of differential expression. Graphical representations, including a circular plot of the analyzed chromosome, allow intuitive browsing of the results. The analysis procedure is based on our previously published R-package PREDA. The release of this tool is timely and relevant for the scientific community, as WoPPER will fill an existing gap in prokaryotic gene expression data analysis and visualization tools. WoPPER is open to all users and can be reached at the following URL: https://WoPPER.ba.itb.cnr.it
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spelling pubmed-55702292017-08-29 WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes Puccio, Simone Grillo, Giorgio Licciulli, Flavio Severgnini, Marco Liuni, Sabino Bicciato, Silvio De Bellis, Gianluca Ferrari, Francesco Peano, Clelia Nucleic Acids Res Web Server Issue The structural and conformational organization of chromosomes is crucial for gene expression regulation in eukaryotes and prokaryotes as well. Up to date, gene expression data generated using either microarray or RNA-sequencing are available for many bacterial genomes. However, differential gene expression is usually investigated with methods considering each gene independently, thus not taking into account the physical localization of genes along a bacterial chromosome. Here, we present WoPPER, a web tool integrating gene expression and genomic annotations to identify differentially expressed chromosomal regions in bacteria. RNA-sequencing or microarray-based gene expression data are provided as input, along with gene annotations. The user can select genomic annotations from an internal database including 2780 bacterial strains, or provide custom genomic annotations. The analysis produces as output the lists of positionally related genes showing a coordinated trend of differential expression. Graphical representations, including a circular plot of the analyzed chromosome, allow intuitive browsing of the results. The analysis procedure is based on our previously published R-package PREDA. The release of this tool is timely and relevant for the scientific community, as WoPPER will fill an existing gap in prokaryotic gene expression data analysis and visualization tools. WoPPER is open to all users and can be reached at the following URL: https://WoPPER.ba.itb.cnr.it Oxford University Press 2017-07-03 2017-04-29 /pmc/articles/PMC5570229/ /pubmed/28460063 http://dx.doi.org/10.1093/nar/gkx329 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Puccio, Simone
Grillo, Giorgio
Licciulli, Flavio
Severgnini, Marco
Liuni, Sabino
Bicciato, Silvio
De Bellis, Gianluca
Ferrari, Francesco
Peano, Clelia
WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title_full WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title_fullStr WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title_full_unstemmed WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title_short WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes
title_sort wopper: web server for position related data analysis of gene expression in prokaryotes
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570229/
https://www.ncbi.nlm.nih.gov/pubmed/28460063
http://dx.doi.org/10.1093/nar/gkx329
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