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dc.contributor.advisorMarkey, Mia Kathleen
dc.contributor.advisorGutell, Robin
dc.creatorGrant, Kevin Marcus
dc.date.accessioned2016-10-19T17:00:00Z
dc.date.available2016-10-19T17:00:00Z
dc.date.issued2016-08
dc.date.submittedAugust 2016
dc.identifierdoi:10.15781/T2GM81Q5W
dc.identifier.urihttp://hdl.handle.net/2152/41754
dc.description.abstractSoftware improvements from this project will enable new algorithms for RNA folding prediction to be explored. Issues with capacity, extensibility, multi-tasking, usability, efficiency, accuracy and testing in the original program have been addressed, and the corresponding software architecture changes are discussed herein. Previously limited to just hundreds of helices, the software can now display and manipulate million-helix RNAs. Actions on large data sets are now feasible, such as continuous zooming. A new scripting interface adds flexibility and is especially useful for repetitive tasks and software testing. Structural analysis of RNA can be streamlined using the new mechanisms for organizing experiments, running other programs and displaying results (helices, or arbitrary text and images such as statistics). Finally, usability has been enhanced with more documentation, controls and settings.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectSoftware
dc.subjectRNA
dc.subjectFolding
dc.subjectHelix
dc.subjectHelices
dc.subjectJava
dc.subjectGUI
dc.titleImproving RNA folding prediction algorithms with enhanced interactive visualization software
dc.typeThesis
dc.date.updated2016-10-19T17:00:00Z
dc.description.departmentElectrical and Computer Engineering
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering
dc.type.materialtext


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