sRNATarget: a web server for prediction of bacterial sRNA targets

作者: Yuan Cao , Yalin Zhao , Lei Cha , Xiaomin Ying , Ligui Wang

DOI: 10.6026/97320630003364

关键词: Function (biology)Hfq proteinNucleic acid secondary structureWeb serverComputational biologyRegulation of gene expressionTransfer RNABiologyData miningRNA chaperoneGene

摘要: UNLABELLED In bacteria, there exist some small non-coding RNAs (sRNAs) with 40-500 nucleotides in length. Most of them function as posttranscriptional regulation gene expression through binding to their target mRNAs, which Hfq protein acts RNA chaperone. With the increase identified sRNA genes bacterium, prediction targets plays a more important role determining functions. However, are few available computational tools for predicting at present. Here we introduced web server, sRNATarget, genome-scale bacterial targets. The server is based on recently published model uses Naive Bayes method supervised and take secondary structure profile feature. results will be returned users E-mail. AVAILABILITY sRNATarget freely athttp://ccb.bmi.ac.cn/srnatarget/

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