title: Ambivalent covariance models.
abstract: BACKGROUND
  Evolutionary variations let us define a set of similar nucleic acid sequences as a family if these different molecules execute a common function. Capturing their sequence variation by using e. g. position specific scoring matrices significantly improves sensitivity of detection tools. Members of a functional (non-coding) RNA family are affected by these variations not only on the sequence, but also on the structural level. For example, some transfer-RNAs exhibit a fifth helix in addition to the typical cloverleaf structure. Current covariance models - the unrivaled homology search approach for structured RNA - do not benefit from structural variation within a family, but rather penalize it. This leads to artificial subdivision of families and loss of information in the RFAM database.
  
  
  RESULTS
  We propose an extension to the fundamental architecture of covariance models to allow for several, compatible consensus structures. The resulting models are called ambivalent covariance models. Evaluation on several RFAM families shows that coalescence of structural variation within a family by using ambivalent consensus models is superior to subdividing the family into multiple classical covariance models.
  
  
  CONCLUSIONS
  A prototype and source code is available at http://bibiserv.cebitec.uni-bielefeld.de/acms.
authors.affiliation: Practical Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, Bielefeld, 33615, Germany. sjanssen@techfak.uni-bielefeld.de.
authors.forename: Stefan
authors.initials: S
authors.lastname: Janssen
authors.affiliation: Practical Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, Bielefeld, 33615, Germany. robert@techfak.uni-bielefeld.de.
authors.forename: Robert
authors.initials: R
authors.lastname: Giegerich
mesh_terms: D016208:Databases, Factual; D006801:Humans; D015233:Models, Statistical; D056510:Position-Specific Scoring Matrices; D012313:RNA / Q000737:chemistry* / Q000235:genetics; D012343:RNA, Transfer / Q000737:chemistry* / Q000235:genetics; D022661:RNA, Untranslated / Q000737:chemistry* / Q000235:genetics; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D022661:RNA, Untranslated; D012313:RNA; D012343:RNA, Transfer