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Feature-based 3D motif filtering for ribosomal RNA
Author(s) -
Ying Shen,
Hau−San Wong,
Shaohong Zhang,
Zhiwen Yu
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr495
Subject(s) - rna , computational biology , structural motif , motif (music) , computer science , nucleic acid structure , pattern recognition (psychology) , artificial intelligence , algorithm , biology , gene , genetics , physics , biochemistry , acoustics
RNA 3D motifs are recurrent substructures in an RNA subunit and are building blocks of the RNA architecture. They play an important role in binding proteins and consolidating RNA tertiary structures. RNA 3D motif searching consists of two steps: candidate generation and candidate filtering. We proposed a novel method, known as Feature-based RNA Motif Filtering (FRMF), for identifying motifs based on a set of moment invariants and the Earth Mover's Distance in the second step.

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