Computational Prediction of Rice (Oryza sativa) miRNA Targets

@inproceedings{Archak2007ComputationalPO,
  title={Computational Prediction of Rice (Oryza sativa) miRNA Targets},
  author={Sunil Archak and Javaregowda Nagaraju},
  booktitle={Genomics, Proteomics & Bioinformatics},
  year={2007}
}
Bioinformatic approaches have complemented experimental efforts to inventorize plant miRNA targets. We carried out global computational analysis of rice (Oryza sativa) transcriptome to generate a comprehensive list of putative miRNA targets. Our predictions (684 unique transcripts) showed that rice miRNAs mediate regulation of diverse functions including transcription (41%), catalysis (28%), binding (18%), and transporter activity (11%). Among the predicted targets, 61.7% hits were in coding… CONTINUE READING

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