| Literature DB >> 16317073 |
Tobias Dezulian1, Michael Remmert, Javier F Palatnik, Detlef Weigel, Daniel H Huson.
Abstract
MicroRNAs (miRNAs) are a recently discovered class of non-coding RNAs that regulate gene and protein expression in plants and animals. MiRNAs have so far been identified mostly by specific cloning of small RNA molecules, complemented by computational methods. We present a computational identification approach that is able to identify candidate miRNA homologs in any set of sequences, given a query miRNA. The approach is based on a sequence similarity search step followed by a set of structural filters.Mesh:
Substances:
Year: 2005 PMID: 16317073 DOI: 10.1093/bioinformatics/bti802
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937