Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zane Kerr"'
Publikováno v:
Forensic Science International: Reports, Vol 4, Iss , Pp 100231- (2021)
The developmental validation of the software DBLR™ (‘database likelihood ratios’) is described. DBLR™ implements a flexible framework for the assignment of likelihood ratios for forensic DNA profiles. This framework allows the user to assign
Externí odkaz:
https://doaj.org/article/e7dd93934c4f4b4c87a11195855f0e5c
Autor:
Meng-Han Lin, Shan-I Lee, Xinlong Zhang, Laura Russell, Hannah Kelly, Kevin Cheng, Stuart Cooper, Richard Wivell, Zane Kerr, Judi Morawitz, Jo-Anne Bright
Publikováno v:
Forensic Science International: Reports, Vol 3, Iss , Pp 100217- (2021)
The analysis of forensic DNA profiles is complicated by the presence of undesirable artefactual peaks such as stutter, pull-up, and dye blobs. We describe the developmental validation of FaSTR™ DNA analysis software, which can assist with the strea
Externí odkaz:
https://doaj.org/article/2b65a3ca9e7045a6938bca4374019c58
Autor:
Judi Morawitz, Richard Wivell, Shan-I Lee, Xinlong Zhang, Stuart Cooper, Hannah Kelly, Laura Russell, Zane Kerr, Kevin Cheng, Jo-Anne Bright, Meng-Han Lin
Publikováno v:
Forensic Science International: Reports, Vol 3, Iss, Pp 100217-(2021)
The analysis of forensic DNA profiles is complicated by the presence of undesirable artefactual peaks such as stutter, pull-up, and dye blobs. We describe the developmental validation of FaSTR™ DNA analysis software, which can assist with the strea
Publikováno v:
Journal of the Royal Society of New Zealand. 50:211-225
The advent of DNA profiling in the 1980s has revolutionised forensic science. Forensic DNA profiling is a powerful tool that is used to both exonerate and implicate persons of interest in criminal ...
Publikováno v:
Forensic Science International: Genetics. 41:64-71
Crown Copyright © 2019 Published by Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license: http://creativecommons.org/licenses/by-nc-nd/4.0/ This author accepted manuscript is made available following 12 month emb
Autor:
Richard Wivell, John Buckleton, Jo-Anne Bright, Zane Kerr, Laura Russell, Stuart Cooper, Duncan Taylor
Until recently, forensic DNA profile interpretation was predominantly a manual, time consuming process undertaken by analysts using heuristics to determine those genotype combinations that could reasonably explain a recovered profile. Probabilistic g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5aa28a6435c0180d2378cdabc54405f
Autor:
James M. Curran, John Buckleton, Jo-Anne Bright, Duncan Taylor, Simone N. Pugh, Zane Kerr, Tacha Hicks
Publikováno v:
Forensic science international. Genetics. 52
In casework, laboratories may be asked to compare DNA mixtures to multiple persons of interest (POI). Guidelines on forensic DNA mixture interpretation recommend that analysts consider several pairs of propositions; however, it is unclear if several
Autor:
John Buckleton, Duncan Taylor, Paul Stafford Allen, Zane Kerr, Jo-Anne Bright, Simone N. Pugh, James M. Curran
Publikováno v:
Forensic science international. Genetics. 51
DNA mixtures will have multiple donors under both the prosecution and alternate propositions when assigning a likelihood ratio for forensic DNA evidence. These donors are usually assumed to be unrelated to each other. In this paper, we make a small,
Autor:
Kevin Cheng, Duncan Taylor, Anne Ciecko, John Buckleton, Zane Kerr, Jo-Anne Bright, James M. Curran
It is routinely assumed when interpreting forensic DNA profiles that peaks of the same molecular size, whether allelic or stutter in origin, ‘stack’. That is, the height of a composite peak is approximately equal to the sum of its parts. There is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63ceb6569439283bfedeb27335a2b4df
Publikováno v:
Forensic Science International: Reports, Vol 4, Iss, Pp 100231-(2021)
The developmental validation of the software DBLR™ (‘database likelihood ratios’) is described. DBLR™ implements a flexible framework for the assignment of likelihood ratios for forensic DNA profiles. This framework allows the user to assign