High performance computing and algorithm development: application of dataset development to algorithm parameterization

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dc.contributor.advisorHide, Winston A
dc.contributor.authorJonas, Mario Ricardo Edward
dc.contributor.otherSouth African National Bioinformatics Institute (SANBI)
dc.contributor.otherFaculty of Science
dc.date.accessioned2013-07-17T09:57:35Z
dc.date.accessioned2024-05-17T07:20:14Z
dc.date.available2007/04/20 08:28
dc.date.available2007/04/20
dc.date.available2013-07-17T09:57:35Z
dc.date.available2024-05-17T07:20:14Z
dc.date.issued2006
dc.descriptionMagister Scientiae - MScen_US
dc.description.abstractA number of technologies exist that captures data from biological systems. In addition, several computational tools, which aim to organize the data resulting from these technologies, have been created. The ability of these tools to organize the information into biologically meaningful results, however, needs to be stringently tested. The research contained herein focuses on data produced by technology that records short Expressed Sequence Tags (EST's).en_US
dc.description.countrySouth Africa
dc.identifier.urihttps://hdl.handle.net/10566/15246
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectAlgorithm testingen_US
dc.subjectDataset developmenten_US
dc.titleHigh performance computing and algorithm development: application of dataset development to algorithm parameterizationen_US
dc.typeThesisen_US

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