Abstract—In this paper, we have used rule-based approach to predict mature miRNA from pre-miRNAs of Bombyx moori (Silk worm). For rule based approach, it is important to have a set of rules. Unfortunately, to the best of our knowledge, miRNA related literature does not provide well-defined set of rules for miRNA prediction. Therefore, the challenge in this research was to derive a set of rules from known data set of related species. We have made an attempt to derive a set of rules from the known miRNA and pre-miRNA data sets of Drosophila melanogaster and Apis mellifera. The derivation of rules is based on the dominating features identified using PCA and infogain method applied by authors in their previous work. Based on these rule set a PERL script is written to predict mature miRNA from given pre-miRNA sequences of Bombyx mori. The results are good approximation with a small number of mismatches. The results of the research are encouraging and may facilitate miRNA biogenesis.
Index Terms—miRNA, Prediction, Rule based approach, Sequences.
Jawaharlal Nehru University, New Delhi, India
U. S. I, Indian Agricultural Research Institute, New Delhi, India
Cite: A. K. Mishra, D. K. Lobiyal, "Prediction of miRNAs in Bombyx Mori through Computational Approaches," International Journal of Computer Theory and Engineering vol. 2, no. 2, pp. 258-263, 2010.
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