Open AccessCMfinder—a covariance model based RNA motif finding algorithm
Author(s) -
Zizhen Yao,
Zasha Weinberg,
Walter L. Ruzzo
Publication year - 2005
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/btk008
Subject(s) - computer science , covariance , computational biology , algorithm , probabilistic logic , sequence alignment , pseudoknot , rna , mathematics , artificial intelligence , genetics , biology , gene , peptide sequence , statistics
The recent discoveries of large numbers of non-coding RNAs and computational advances in genome-scale RNA search create a need for tools for automatic, high quality identification and characterization of conserved RNA motifs that can be readily used for database search. Previous tools fall short of this goal.
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