Modeling RNA Secondary Structure with Sequence Comparison and Experimental Mapping Data.

ABSTRACT: Secondary structure prediction is an important problem in RNA bioinformatics because knowledge of structure is critical to understanding the functions of RNA sequences. Significant improvements in prediction accuracy have recently been demonstrated though the incorporation of experimentally obtained structural information, for instance using selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) mapping. However, such mapping data is currently available only for a limited number of RNA sequences. In this article, we present a method for extending the benefit of experimental mapping data in secondary structure prediction to homologous sequences. Specifically, we propose a method for integrating experimental mapping data into a comparative sequence analysis algorithm for second

SUBMITTER: Tan Z 

PROVIDER: S-EPMC5529333 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature