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A Combined Approach for Locating Box H/ACA snoRNAs in the Human Genome  

Eo, Hae Seok (Program in Bioinformatics, Seoul National University)
Jo, Kwang Sun (JLLAB, Inc.)
Lee, Seung Won (JLLAB, Inc.)
Kim, Chang-Bae (National Genome Information Center, Korea Research Institute of Bioscinece and Biotechnology)
Kim, Won (School of Biological Sciences, Seoul National University)
Abstract
A novel combined method for locating box H/ACA small nucleolar RNAs (snoRNAs) is described, together with a software tool. The method adopts both a probabilistic hidden Markov model (HMM) and a minimum free energy (MFE) rule, and filters possible candidate box H/ACA snoRNAs obtained from genomic DNA sequences. With our novel method 12 known box H/ACA snoRNAs, and one strong candidate were identified in 30 nucleolar protein genomic sequences.
Keywords
box H/ACA snoRNA; Hidden Markov Model; Minimum Free Energy;
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