An Updated Covariance Model for Rapid Annotation of Noncoding RNA
Yinglei Song1; Junfeng Qu2 1 School of Electronics and Information Science, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China2 Department of Computer Science and Information Technology, Clayton State University, Morrow, GA, USA
Abstract
Noncoding RNA (ncRNA) plays a fundamental role in many biological processes. Models that can accurately describe the secondary structure of ncRNA molecules, therefore, are important for recognizing them in DNA genomes. The covariance model (CM) is one of the most accurate models that can describe the base pairs in the secondary structure of an ncRNA molecule. Methods based on CMs can achieve great accuracy ...
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