title: Motifs from the deep.
abstract: Because of the increasing recognition of the importance of non-coding RNAs in gene regulation, there is considerable interest in identifying RNA motifs in genomic data. In a recent report in BMC Genomics, Breaker and colleagues describe a new algorithm for identifying functional noncoding RNAs in metagenomic sequences of marine organisms, a strategy that may be particularly effective for discovering new and unique riboswitches.
authors.affiliation: Department of Chemistry and Biochemistry, Institute for Cell and Molecular Biology, University of Texas, Austin, TX78712, USA. tony.hwang@mail.utexas.edu
authors.forename: Tony W
authors.initials: TW
authors.lastname: Hwang
authors.forename: Vlad
authors.initials: V
authors.lastname: Codrea
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Ellington
mesh_terms: D000465:Algorithms; D020561:Alphaproteobacteria / Q000235:genetics / Q000378:metabolism; D000818:Animals; D005786:Gene Expression Regulation; D016678:Genome; D006801:Humans; D022661:RNA, Untranslated / Q000235:genetics* / Q000378:metabolism; D017423:Sequence Analysis, RNA / Q000379:methods; D012689:Sequence Homology, Nucleic Acid
chemical_list: D022661:RNA, Untranslated