A Validation of STRmix™ for Forensic Casework
dc.contributor.advisor | Bruce Budowle | |
dc.contributor.committeeMember | Joseph E. Warren | |
dc.contributor.committeeMember | Patricia A. Gwirtz | |
dc.creator | Conway, Allison | |
dc.date.accessioned | 2019-08-22T21:39:38Z | |
dc.date.available | 2019-08-22T21:39:38Z | |
dc.date.issued | 2017-05-01 | |
dc.date.submitted | 2018-08-16T11:42:08-07:00 | |
dc.description.abstract | The interpretation of complex DNA profiles has been a controversial issue in forensic biology. The current methods of interpretation are limited in scope and do not make full use of the data. Efforts have been made to develop software which can incorporate more data and process more calculations than were previously possible. One such program, STRmix™ (Institute of Environmental Science and Research, Porirua, New Zealand), uses a Markov Chain Monte Carlo (MCMC) principle to simulate many different possible profiles and determine the probability of observing a profile in the evidence. A validation of this software is necessary to indicate which situations are appropriate for analysis and define existing limitations. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | https://hdl.handle.net/20.500.12503/29493 | |
dc.language.iso | en | |
dc.provenance.legacyDownloads | 29 | |
dc.subject | Medical Sciences | |
dc.subject | Medicine and Health Sciences | |
dc.subject | STRmix | |
dc.subject | DNA | |
dc.subject | forensic | |
dc.subject | probabilistic genotyping | |
dc.title | A Validation of STRmix™ for Forensic Casework | |
dc.type | Thesis | |
dc.type.material | text | |
thesis.degree.department | Graduate School of Biomedical Sciences | |
thesis.degree.discipline | Biomedical Sciences | |
thesis.degree.grantor | University of North Texas Health Science Center at Fort Worth | |
thesis.degree.name | Master of Science |
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