Computational Analysis Of Rna Structures With Chemical Probing Data
Keywords
Chemical probing; Parallel sequencing; RNA secondary structure; RNA tertiary structure
Abstract
RNAs play various roles, not only as the genetic codes to synthesize proteins, but also as the direct participants of biological functions determined by their underlying high-order structures. Although many computational methods have been proposed for analyzing RNA structures, their accuracy and efficiency are limited, especially when applied to the large RNAs and the genome-wide data sets. Recently, advances in parallel sequencing and high-throughput chemical probing technologies have prompted the development of numerous new algorithms, which can incorporate the auxiliary structural information obtained from those experiments. Their potential has been revealed by the secondary structure prediction of ribosomal RNAs and the genome-wide ncRNA function annotation. In this review, the existing probing-directed computational methods for RNA secondary and tertiary structure analysis are discussed.
Publication Date
6-1-2015
Publication Title
Methods
Volume
79
Number of Pages
60-66
Document Type
Editorial Material
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.ymeth.2015.02.003
Copyright Status
Unknown
Socpus ID
84929379114 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84929379114
STARS Citation
Ge, Ping and Zhang, Shaojie, "Computational Analysis Of Rna Structures With Chemical Probing Data" (2015). Scopus Export 2015-2019. 2209.
https://stars.library.ucf.edu/scopus2015/2209