Unknown

Dataset Information

0

RNA structural motif recognition based on least-squares distance.


ABSTRACT: RNA structural motifs are recurrent structural elements occurring in RNA molecules. RNA structural motif recognition aims to find RNA substructures that are similar to a query motif, and it is important for RNA structure analysis and RNA function prediction. In view of this, we propose a new method known as RNA Structural Motif Recognition based on Least-Squares distance (LS-RSMR) to effectively recognize RNA structural motifs. A test set consisting of five types of RNA structural motifs occurring in Escherichia coli ribosomal RNA is compiled by us. Experiments are conducted for recognizing these five types of motifs. The experimental results fully reveal the superiority of the proposed LS-RSMR compared with four other state-of-the-art methods.

SUBMITTER: Shen Y 

PROVIDER: S-EPMC3753925 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

RNA structural motif recognition based on least-squares distance.

Shen Ying Y   Wong Hau-San HS   Zhang Shaohong S   Zhang Lin L  

RNA (New York, N.Y.) 20130725 9


RNA structural motifs are recurrent structural elements occurring in RNA molecules. RNA structural motif recognition aims to find RNA substructures that are similar to a query motif, and it is important for RNA structure analysis and RNA function prediction. In view of this, we propose a new method known as RNA Structural Motif Recognition based on Least-Squares distance (LS-RSMR) to effectively recognize RNA structural motifs. A test set consisting of five types of RNA structural motifs occurri  ...[more]

Similar Datasets

| S-EPMC7192616 | biostudies-literature
| S-EPMC4889956 | biostudies-literature
| S-EPMC3050080 | biostudies-literature
2019-08-14 | GSE99487 | GEO
| S-EPMC4301712 | biostudies-literature
| S-EPMC4937326 | biostudies-literature
| S-EPMC7996396 | biostudies-literature
| S-EPMC3988571 | biostudies-literature
| S-EPMC6057467 | biostudies-literature
| S-EPMC2844623 | biostudies-literature