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.

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. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 45:1(2017), pp. W109-W115. [10.1093/nar/gkx329]

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

BICCIATO, Silvio;
2017

Abstract

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.
2017
45
1
W109
W115
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. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 45:1(2017), pp. W109-W115. [10.1093/nar/gkx329]
Puccio, Simone; Grillo, Giorgio; Licciulli, Flavio; Severgnini, Marco; Liuni, Sabino; Bicciato, Silvio; De Bellis, Gianluca; Ferrari, Francesco; Peano...espandi
File in questo prodotto:
File Dimensione Formato  
Puccio_et_al_NAR_2017.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 1.27 MB
Formato Adobe PDF
1.27 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1134654
Citazioni
  • ???jsp.display-item.citation.pmc??? 10
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 13
social impact