Title

sRNATarget: a web server for prediction of bacterial sRNA targets

Authors

Yuan Cao, Yalin Zhao, Lei Cha, Xiaomin Ying, Ligui Wang, Ningsheng Shao, Wuju Li*

Affiliation

Beijing Institute of Basic Medical Sciences, Taiping Road 27, Haidian district, Beijing 100850,

Email

liwj@nic.bmi.ac.cn

Article Type

Web Server

Date

received January 19, 2009; revised March 06, 2009; accepted March 29, 2009; published April 29, 2009

Abstract

In bacteria, there exist some small non-coding RNAs (sRNAs) with 40–500 nucleotides in length. Most of them function as post-transcriptional regulation of gene expression through binding to their target mRNAs, in which Hfq protein acts as RNA chaper-one. 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 re-cently 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 at http://ccb.bmi.ac.cn/srnatarget/

Keywords

prediction of sRNA target; model; Naive Bayes method

Citation

Cao et al, Bioinformation 3(8): 364-366 (2009)

Edited by

P. Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.