Chapter 23

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 ...

Get Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.