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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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 |
format | Online Article Text |
id | pubmed-5570229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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