Linked Life Data

16425273

Source:http://linkedlifedata.com/resource/pubmed/id/16425273

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-8-14
pubmed:abstractText
We present a survey for non-coding RNAs and other structured RNA motifs in the genomes of Caenorhabditis elegans and Caenorhabditis briggsae using the RNAz program. This approach explicitly evaluates comparative sequence information to detect stabilizing selection acting on RNA secondary structure. We detect 3,672 structured RNA motifs, of which only 678 are known non-translated RNAs (ncRNAs) or clear homologs of known C. elegans ncRNAs. Most of these signals are located in introns or at a distance from known protein-coding genes. With an estimated false positive rate of about 50% and a sensitivity on the order of 50%, we estimate that the nematode genomes contain between 3,000 and 4,000 RNAs with evolutionary conserved secondary structures. Only a small fraction of these belongs to the known RNA classes, including tRNAs, snoRNAs, snRNAs, or microRNAs. A relatively small class of ncRNA candidates is associated with previously observed RNA-specific upstream elements.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1552-5007
pubmed:author
pubmed:copyrightInfo
Copyright 2006 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
306
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
379-92
pubmed:dateRevised
2009-10-5
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Prediction of structured non-coding RNAs in the genomes of the nematodes Caenorhabditis elegans and Caenorhabditis briggsae.
pubmed:affiliation
Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16 18, D 04107 Leipzig, Germany. kristin@bioinf.uni-leipzig.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't