Identification of plant microRNA homologs
Tobias Dezulian(Bernstein Center for Computational Neuroscience Tübingen), Michael Remmert(Bernstein Center for Computational Neuroscience Tübingen), Javier F. Palatnik(Max Planck Institute for Developmental Biology), Detlef Weigel(Max Planck Institute for Developmental Biology), Daniel H. Huson(Bernstein Center for Computational Neuroscience Tübingen)
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Abstract
Abstract Summary: 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. Availability: microHARVESTER is offered as a web-service and additionally as source code upon request at Contact: dezulian@informatik.uni-tuebingen.de
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