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sRNATarget: a web server for prediction of bacterial sRNA targets

In bacteria, there exist some small non-coding RNAs (sRNAs) with 40–500 nucleotides in length. Most of them function as posttranscriptional regulation of gene expression through binding to their target mRNAs, in which Hfq protein acts as RNA chaperone. With the increase of identified sRNA genes in t...

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Detalles Bibliográficos
Autores principales: Cao, Yuan, Zhao, Yalin, Cha, Lei, Ying, Xiaomin, Wang, Ligui, Shao, Ningsheng, Li, Wuju
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720669/
https://www.ncbi.nlm.nih.gov/pubmed/19707302
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author Cao, Yuan
Zhao, Yalin
Cha, Lei
Ying, Xiaomin
Wang, Ligui
Shao, Ningsheng
Li, Wuju
author_facet Cao, Yuan
Zhao, Yalin
Cha, Lei
Ying, Xiaomin
Wang, Ligui
Shao, Ningsheng
Li, Wuju
author_sort Cao, Yuan
collection PubMed
description In bacteria, there exist some small non-coding RNAs (sRNAs) with 40–500 nucleotides in length. Most of them function as posttranscriptional regulation of gene expression through binding to their target mRNAs, in which Hfq protein acts as RNA chaperone. With the increase of identified sRNA genes in the bacterium, prediction of sRNA targets plays a more important role in determining sRNA functions. However, there are few available computational tools for predicting sRNA targets at present. Here we introduced a web server, sRNATarget, for genome-scale prediction of bacterial sRNA targets. The server is based on a recently published model which uses Naive Bayes method as the supervised method and take RNA secondary structure profile as the feature. The prediction results will be returned to the users through E-mail. AVAILABILITY: sRNATarget web server is freely available athttp://ccb.bmi.ac.cn/srnatarget/
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spelling pubmed-27206692009-08-25 sRNATarget: a web server for prediction of bacterial sRNA targets Cao, Yuan Zhao, Yalin Cha, Lei Ying, Xiaomin Wang, Ligui Shao, Ningsheng Li, Wuju Bioinformation Webserver In bacteria, there exist some small non-coding RNAs (sRNAs) with 40–500 nucleotides in length. Most of them function as posttranscriptional regulation of gene expression through binding to their target mRNAs, in which Hfq protein acts as RNA chaperone. With the increase of identified sRNA genes in the bacterium, prediction of sRNA targets plays a more important role in determining sRNA functions. However, there are few available computational tools for predicting sRNA targets at present. Here we introduced a web server, sRNATarget, for genome-scale prediction of bacterial sRNA targets. The server is based on a recently published model which uses Naive Bayes method as the supervised method and take RNA secondary structure profile as the feature. The prediction results will be returned to the users through E-mail. AVAILABILITY: sRNATarget web server is freely available athttp://ccb.bmi.ac.cn/srnatarget/ Biomedical Informatics Publishing Group 2009-04-29 /pmc/articles/PMC2720669/ /pubmed/19707302 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Webserver
Cao, Yuan
Zhao, Yalin
Cha, Lei
Ying, Xiaomin
Wang, Ligui
Shao, Ningsheng
Li, Wuju
sRNATarget: a web server for prediction of bacterial sRNA targets
title sRNATarget: a web server for prediction of bacterial sRNA targets
title_full sRNATarget: a web server for prediction of bacterial sRNA targets
title_fullStr sRNATarget: a web server for prediction of bacterial sRNA targets
title_full_unstemmed sRNATarget: a web server for prediction of bacterial sRNA targets
title_short sRNATarget: a web server for prediction of bacterial sRNA targets
title_sort srnatarget: a web server for prediction of bacterial srna targets
topic Webserver
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720669/
https://www.ncbi.nlm.nih.gov/pubmed/19707302
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