- AutorIn
- Dominic Rose
- Jörg Hackermüller
- Stefan Washietl
- Kristin Reiche
- Jana Hertel
- Sven Findeiß
- Peter F. Stadler
- Sonja J. Prohaska
- Titel
- Computational RNomics of Drosophilids
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-319527
- Quellenangabe
- BMC Genomics Erscheinungsort: London
Verlag: BioMed Central
Erscheinungsjahr: 2007
Jahrgang: 8
ISSN: 1471-2164
Artikelnummer: 406 - Erstveröffentlichung
- 2007
- Abstract (EN)
- Recent experimental and computational studies have provided overwhelming evidence for a plethora of diverse transcripts that are unrelated to protein-coding genes. One subclass consists of those RNAs that require distinctive secondary structure motifs to exert their biological function and hence exhibit distinctive patterns of sequence conservation characteristic for positive selection on RNA secondary structure. The deep-sequencing of 12 drosophilid species coordinated by the NHGRI provides an ideal data set of comparative computational approaches to determine those genomic loci that code for evolutionarily conserved RNA motifs. This class of loci includes the majority of the known small ncRNAs as well as structured RNA motifs in mRNAs. We report here on a genome-wide survey using RNAz.
- Freie Schlagwörter (EN)
- Biochemistry, Evolutionary biology, RNA
- Klassifikation (DDC)
- 572.8
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-319527
- Veröffentlichungsdatum Qucosa
- 18.10.2018
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch