| Summary: | 碩士 === 國立交通大學 === 生物資訊研究所 === 96 === microRNA (miRNA) is a class of small non-coding RNA and the main function of miRNA is to regulate mRNA stability and translation by binding to specific target site of mRNA. Recently, more and more miRNA targets have been discovered by experiments. However, the experimental identification of miRNA target site is lab-intensive. Although there are several computational programs have been developed, such as miRanda, RNAhybrid, TargetScan and PicTar, for identifying miRNA targets. The main method of these programs are different, it’s hard to define which tool has better performance. Therefore, in this work, to improve the accuracy of miRNA target prediction, we proposed a systematic method for identifying miRNA targets in human genome. We applied three commonly used programs to make predictions. Besides, we also define several useful criteria by observing the experimentally verified miRNA targets which are retrieved from TarBase to filter prediction results. Moreover, we also collected both miRNAs and its targets gene expression profiles to support our prediction results. Using this systematic method we proposed can help biologists to find miRNA targets more convenient and accurate.
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