Bai, Youhuang and Dai, Xiaozhuan and Harrison, Andrew and Johnston, Caroline and Chen, Ming (2016) Toward a next-generation atlas of RNA secondary structure. Briefings in Bioinformatics, 17 (1). pp. 63-77. DOI https://doi.org/10.1093/bib/bbv026
Bai, Youhuang and Dai, Xiaozhuan and Harrison, Andrew and Johnston, Caroline and Chen, Ming (2016) Toward a next-generation atlas of RNA secondary structure. Briefings in Bioinformatics, 17 (1). pp. 63-77. DOI https://doi.org/10.1093/bib/bbv026
Bai, Youhuang and Dai, Xiaozhuan and Harrison, Andrew and Johnston, Caroline and Chen, Ming (2016) Toward a next-generation atlas of RNA secondary structure. Briefings in Bioinformatics, 17 (1). pp. 63-77. DOI https://doi.org/10.1093/bib/bbv026
Abstract
RNA structure plays a crucial role in gene maturation, regulation and function. Determining the form and frequency of RNA folds is essential for a better understanding of how RNA exerts its functions. Low-throughput studies have focused on RNA primary sequences and expression levels, but with an emphasis on relatively small numbers of transcripts. However, with the recent advent of high-throughput technologies, it is realistic to begin analyzing RNA secondary structures on a genomewide scale. Here, we review genome-wide RNA secondary structure profiles as well as advances in computational structure predictions. We further discuss the novel characteristics of RNA secondary structure across messenger RNAs. Probing RNA secondary structure by high-throughput sequencing will enable us to build atlases of RNA secondary structures, an important step in helping us to understand the versatility of RNA functions in diverse cellular processes.
Item Type: | Article |
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Uncontrolled Keywords: | RNA secondary structure; computational prediction; high-throughput sequencing; RNA structure-function relationships |
Subjects: | Q Science > QA Mathematics Q Science > QH Natural history > QH426 Genetics |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Nov 2016 16:14 |
Last Modified: | 30 Oct 2024 20:00 |
URI: | http://repository.essex.ac.uk/id/eprint/18043 |