作者: Xiu-Jie Wang , José L Reyes , Nam-Hai Chua , Terry Gaasterland
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摘要: Background A class of eukaryotic non-coding RNAs termed microRNAs (miRNAs) interact with target mRNAs by sequence complementarity to regulate their expression. The low abundance some miRNAs and time- tissue-specific expression patterns make experimental miRNA identification difficult. We present here a computational method for genome-wide prediction Arabidopsis thaliana mRNAs. This uses characteristic features known plant as criteria search conserved between Oryza sativa. Extensive is used predict miRNA-regulated transcripts.