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A computational approach to microRNA detection

Please always quote using this URN: urn:nbn:de:0297-zib-9383
  • During the last few years more and more functionalities of RNA have been discovered that were previously thought of being carried out by proteins alone. One of the most striking discoveries was the de tection of microRNAs, a class of noncoding RNAs that play an important role in post-transcriptional gene regulation. Large-scale analyses are needed for the still increasingly growing amount of sequen ce data derived from new experimental technologies. In this paper we present a framework for the detection of the distinctive precursor structure of microRNAS that is based on the well-known Smith-Wat erman algorithm and various filtering steps. We conducted experiments on real genomic data and we found several new putative hits for microRNA precursor structures.

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Author:Patrick May, Markus Bauer, Christian Köberle, Gunnar Klau
Document Type:ZIB-Report
Tag:microRNA Smith-Waterman RNA folding
MSC-Classification:92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92-08 Computational methods
92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92Dxx Genetics and population dynamics / 92D20 Protein sequences, DNA sequences
CCS-Classification:J. Computer Applications / J.3 LIFE AND MEDICAL SCIENCES
Date of first Publication:2006/10/18
Series (Serial Number):ZIB-Report (06-44)
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