title: A combined approach for locating box H/ACA snoRNAs in the human genome.
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.
authors.affiliation: School of Biological Sciences, Seoul National University, Seoul 151-742, Korea.
authors.forename: Hae Seok
authors.initials: HS
authors.lastname: Eo
authors.forename: Kwang Sun
authors.initials: KS
authors.lastname: Jo
authors.forename: Seung Won
authors.initials: SW
authors.lastname: Lee
authors.forename: Chang-Bae
authors.initials: CB
authors.lastname: Kim
authors.forename: Won
authors.initials: W
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D030561:Databases, Nucleic Acid; D004735:Energy Transfer / Q000235:genetics*; D015894:Genome, Human; D006801:Humans; D008390:Markov Chains; D008954:Models, Biological; D008969:Molecular Sequence Data; D020537:RNA, Small Nucleolar / Q000235:genetics*; D015203:Reproducibility of Results; D012441:Saccharomyces cerevisiae / Q000235:genetics; D016415:Sequence Alignment; D012984:Software / Q000592:standards*
chemical_list: D020537:RNA, Small Nucleolar