Cargando…
Validating TrueAllele(®) Interpretation of DNA Mixtures Containing up to Ten Unknown Contributors
Most DNA evidence is a mixture of two or more people. Cybergenetics TrueAllele(®) system uses Bayesian computing to separate genotypes from mixture data and compare genotypes to calculate likelihood ratio (LR) match statistics. This validation study examined the reliability of TrueAllele computing o...
Autores principales: | Bauer, David W., Butt, Nasir, Hornyak, Jennifer M., Perlin, Mark W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065088/ https://www.ncbi.nlm.nih.gov/pubmed/31580496 http://dx.doi.org/10.1111/1556-4029.14204 |
Ejemplares similares
-
New York State TrueAllele® Casework Validation Study*
por: Perlin, Mark W, et al.
Publicado: (2013) -
TrueAllele Casework on Virginia DNA Mixture Evidence: Computer and Manual Interpretation in 72 Reported Criminal Cases
por: Perlin, Mark W., et al.
Publicado: (2014) -
SNP Miniplexes for Individual Identification of Random‐Bred Domestic Cats
por: Brooks, Ashley, et al.
Publicado: (2016) -
Developmental Validation of the ANDE 6C System for Rapid DNA Analysis of Forensic Casework and DVI Samples
por: Turingan, Rosemary S., et al.
Publicado: (2020) -
Predictive Soil Provenancing (PSP): An Innovative Forensic Soil Provenance Analysis Tool
por: de Caritat, Patrice, et al.
Publicado: (2019)