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TitlemiRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm.
AuthorDuvenage, Eugene.
SubjectmiRNA
Subject Gene expression regulation
Subject Computational miRNA identification
Subject Hairpin structural motifs
Subject Secondary structure calculation
Subject Machine learning
Subject Genetic algorithm
Subject Regular expressions
Subject Genome scan
Subject High throughput.
Date2008
TypeThesis and dissertation
FormatPdf
AbstractIn summary there currently exist techniques to discover miRNA however both require many calculations to be performed during the identification limiting their use at a genomic level. Machine learning techniques are currently providing the best results by combining a number of calculated and statistically derived features to identify miRNA candidates, however almost all of these still include computationally intensive secondary-structure calculations. It is the aim of this project to produce a miRNA identification process that minimises and simplifies the number of computational elements required during the identification process.
Identifierhttp://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5752_1266536340