ParaDNA: A Novel Instrument for Presumptive DNA Analysis
dc.contributor.advisor | Warren, Joseph E. | |
dc.contributor.committeeMember | Allen, Michael S. | |
dc.contributor.committeeMember | Staub, Rick W. | |
dc.contributor.committeeMember | Millar, J. Cameron | |
dc.creator | Moussa, Ola | |
dc.date.accessioned | 2019-10-01T20:39:30Z | |
dc.date.available | 2019-10-01T20:39:30Z | |
dc.date.issued | 2018-05 | |
dc.description.abstract | Current methods for human identification are time consuming and can take weeks to complete, leading to a backlog of evidence needing to be processed and a slowdown in investigations. The ParaDNA[R] Instrument is designed to address this issue using the Screening and Intelligence Systems which can detect the relative amount of DNA in an evidence item, and analyze 5 short tandem repeats (STRs) and Amelogenin, respectively [3]. The Instrument uses HyBeacons[R] which target specific STRs to identify the presence of DNA, and detect STR alleles. This is a validation of the ParaDNA[R] Screening and Intelligence Systems using saliva and blood samples to assess the sensitivity and reliability of the instrument. The data collected using the ParaDNA[R] Instrument show that it can reliably identify the relative amount of DNA in a sample, and display useful STR profiles that are 99% concordant with Qiagen Investigator 24Plex QS STR Kits. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | https://hdl.handle.net/20.500.12503/29690 | |
dc.language.iso | en | |
dc.subject | DNA | |
dc.subject | Forensics | |
dc.subject | Genetics | |
dc.subject | ParaDNA | |
dc.subject.mesh | Forensic Genetics, instrumentation | |
dc.subject.mesh | Microsatellite Repeats | |
dc.subject.mesh | Validation Studies | |
dc.title | ParaDNA: A Novel Instrument for Presumptive DNA Analysis | |
dc.type | Thesis | |
dc.type.material | text | |
thesis.degree.department | Graduate School of Biomedical Sciences | |
thesis.degree.discipline | Forensic Genetics | |
thesis.degree.grantor | University of North Texas Health Science Center at Fort Worth | |
thesis.degree.name | Master of Science |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 2018_05_gsbs_Moussa_Ola_thesis.pdf
- Size:
- 2.86 MB
- Format:
- Adobe Portable Document Format
- Description: