A genetic algorithm for RNA secondary structure prediction using stacking energy thermodynamic models
Year: 2005
Type: dissertation
Abstract: RNA structure is an important field of study.Predicting structure can overcome many of the issues with physical structure determination.Structure prediction can be simplified as an energy minimization problem.Common optimization techniques are the DPA and the GA.RnaPredict is a GA used for RNA secondary structure prediction using energy minimization and is evolved from Dr. Wiese's lab.Selection, recombination, mutation, and Dr. Wiese also helped me choose a topic for my thesis through a research assistantship and directed reading classes.He guided my work so it would be directly applicable to my thesis.Dr. Wiese
Source: Summit (Simon Fraser University)
Author: A. Deschenes
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2304992369