title: Sequence and structure analysis of noncoding RNAs.
abstract: Noncoding RNAs (ncRNAs) are increasingly recognized as important functional molecules in the cell. Here we give a short overview of fundamental computational techniques to analyze ncRNAs that can help us better understand their function. Topics covered include prediction of secondary structure from the primary sequence, prediction of consensus structures for homologous sequences, search for homologous sequences in databases using sequence and structure comparisons, annotation of tRNAs, rRNAs, snoRNAs, and microRNAs, de novo prediction of novel ncRNAs, and prediction of RNA/RNA interactions including miRNA target prediction.
authors.affiliation: Department of Theoretical Chemistry, University of Vienna, Vienna, Wien, Austria.
authors.forename: Stefan
authors.initials: S
authors.lastname: Washietl
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D019295:Computational Biology; D057225:Data Mining; D030541:Databases, Genetic; D006801:Humans; D008969:Molecular Sequence Data; D009690:Nucleic Acid Conformation; D022661:RNA, Untranslated / Q000737:chemistry*; D016415:Sequence Alignment; D017423:Sequence Analysis, RNA; D012689:Sequence Homology, Nucleic Acid; D012984:Software
chemical_list: D022661:RNA, Untranslated