miRNAMatcher: High throughput miRNA discovery using regular expressions obtained via a genetic algorithm
In 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.
miRNA, Gene expression regulation, Computational miRNA identification, Hairpin structural motifs, Secondary structure calculation, Machine learning, Genetic algorithm, Regular expressions, Genome scan, High throughput
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