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sRNAdb: A small non-coding RNA database for gram-positive bacteria

BACKGROUND: The class of small non-coding RNA molecules (sRNA) regulates gene expression by different mechanisms and enables bacteria to mount a physiological response due to adaptation to the environment or infection. Over the last decades the number of sRNAs has been increasing rapidly. Several da...

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Autores principales: Pischimarov, Jordan, Kuenne, Carsten, Billion, André, Hemberger, Jüergen, Cemič, Franz, Chakraborty, Trinad, Hain, Torsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439263/
https://www.ncbi.nlm.nih.gov/pubmed/22883983
http://dx.doi.org/10.1186/1471-2164-13-384
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author Pischimarov, Jordan
Kuenne, Carsten
Billion, André
Hemberger, Jüergen
Cemič, Franz
Chakraborty, Trinad
Hain, Torsten
author_facet Pischimarov, Jordan
Kuenne, Carsten
Billion, André
Hemberger, Jüergen
Cemič, Franz
Chakraborty, Trinad
Hain, Torsten
author_sort Pischimarov, Jordan
collection PubMed
description BACKGROUND: The class of small non-coding RNA molecules (sRNA) regulates gene expression by different mechanisms and enables bacteria to mount a physiological response due to adaptation to the environment or infection. Over the last decades the number of sRNAs has been increasing rapidly. Several databases like Rfam or fRNAdb were extended to include sRNAs as a class of its own. Furthermore new specialized databases like sRNAMap (gram-negative bacteria only) and sRNATarBase (target prediction) were established. To the best of the authors’ knowledge no database focusing on sRNAs from gram-positive bacteria is publicly available so far. DESCRIPTION: In order to understand sRNA’s functional and phylogenetic relationships we have developed sRNAdb and provide tools for data analysis and visualization. The data compiled in our database is assembled from experiments as well as from bioinformatics analyses. The software enables comparison and visualization of gene loci surrounding the sRNAs of interest. To accomplish this, we use a client–server based approach. Offline versions of the database including analyses and visualization tools can easily be installed locally on the user’s computer. This feature facilitates customized local addition of unpublished sRNA candidates and related information such as promoters or terminators using tab-delimited files. CONCLUSION: sRNAdb allows a user-friendly and comprehensive comparative analysis of sRNAs from available sequenced gram-positive prokaryotic replicons. Offline versions including analysis and visualization tools facilitate complex user specific bioinformatics analyses.
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spelling pubmed-34392632012-09-12 sRNAdb: A small non-coding RNA database for gram-positive bacteria Pischimarov, Jordan Kuenne, Carsten Billion, André Hemberger, Jüergen Cemič, Franz Chakraborty, Trinad Hain, Torsten BMC Genomics Database BACKGROUND: The class of small non-coding RNA molecules (sRNA) regulates gene expression by different mechanisms and enables bacteria to mount a physiological response due to adaptation to the environment or infection. Over the last decades the number of sRNAs has been increasing rapidly. Several databases like Rfam or fRNAdb were extended to include sRNAs as a class of its own. Furthermore new specialized databases like sRNAMap (gram-negative bacteria only) and sRNATarBase (target prediction) were established. To the best of the authors’ knowledge no database focusing on sRNAs from gram-positive bacteria is publicly available so far. DESCRIPTION: In order to understand sRNA’s functional and phylogenetic relationships we have developed sRNAdb and provide tools for data analysis and visualization. The data compiled in our database is assembled from experiments as well as from bioinformatics analyses. The software enables comparison and visualization of gene loci surrounding the sRNAs of interest. To accomplish this, we use a client–server based approach. Offline versions of the database including analyses and visualization tools can easily be installed locally on the user’s computer. This feature facilitates customized local addition of unpublished sRNA candidates and related information such as promoters or terminators using tab-delimited files. CONCLUSION: sRNAdb allows a user-friendly and comprehensive comparative analysis of sRNAs from available sequenced gram-positive prokaryotic replicons. Offline versions including analysis and visualization tools facilitate complex user specific bioinformatics analyses. BioMed Central 2012-08-10 /pmc/articles/PMC3439263/ /pubmed/22883983 http://dx.doi.org/10.1186/1471-2164-13-384 Text en Copyright ©2012 Pischimarov 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 Database
Pischimarov, Jordan
Kuenne, Carsten
Billion, André
Hemberger, Jüergen
Cemič, Franz
Chakraborty, Trinad
Hain, Torsten
sRNAdb: A small non-coding RNA database for gram-positive bacteria
title sRNAdb: A small non-coding RNA database for gram-positive bacteria
title_full sRNAdb: A small non-coding RNA database for gram-positive bacteria
title_fullStr sRNAdb: A small non-coding RNA database for gram-positive bacteria
title_full_unstemmed sRNAdb: A small non-coding RNA database for gram-positive bacteria
title_short sRNAdb: A small non-coding RNA database for gram-positive bacteria
title_sort srnadb: a small non-coding rna database for gram-positive bacteria
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439263/
https://www.ncbi.nlm.nih.gov/pubmed/22883983
http://dx.doi.org/10.1186/1471-2164-13-384
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