A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences | Zendy

Yongmei Ji | Zendy; Xing Xu | Zendy; Gary D. Stormo | Zendy

Open Access

A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences

Author(s) -

Yongmei Ji,

Xing Xu,

Gary D. Stormo

Publication year - 2004

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/bth131

Subject(s) - pseudoknot , computational biology , structural motif , rna , pairwise comparison , nucleic acid secondary structure , protein secondary structure , nucleic acid structure , biology , riboswitch , conserved sequence , graph , multiple sequence alignment , sequence alignment , computer science , algorithm , genetics , gene , theoretical computer science , non coding rna , artificial intelligence , peptide sequence , biochemistry

RNA structure motifs contained in mRNAs have been found to play important roles in regulating gene expression. However, identification of novel RNA regulatory motifs using computational methods has not been widely explored. Effective tools for predicting novel RNA regulatory motifs based on genomic sequences are needed.

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