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Computer Methods For Pre-Microrna Secondary Structure Prediction, Dianwei Han
Computer Methods For Pre-Microrna Secondary Structure Prediction, Dianwei Han
Theses and Dissertations--Computer Science
This thesis presents a new algorithm to predict the pre-microRNA secondary structure. An accurate prediction of the pre-microRNA secondary structure is important in miRNA informatics. Based on a recently proposed model, nucleotide cyclic motifs (NCM), to predict RNA secondary structure, we propose and implement a Modified NCM (MNCM) model with a physics-based scoring strategy to tackle the problem of pre-microRNA folding. Our microRNAfold is implemented using a global optimal algorithm based on the bottom-up local optimal solutions.
It has been shown that studying the functions of multiple genes and predicting the secondary structure of multiple related microRNA is more important …