Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems

In the paper, “Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens” [1], we analysed 102 two-person DNA samples from simulated mixtures and male-female and male-male post-coital specimens. We report here data on profile characteristics of these samples and lik...

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Autores principales: Rodriguez, Jae Joseph Russell B., Bright, Jo-Anne, Salvador, Jazelyn M., Laude, Rita P., De Ungria, Maria Corazon A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Biochemistry, Genetics and Molecular Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811899/
https://www.ncbi.nlm.nih.gov/pubmed/31667227
http://dx.doi.org/10.1016/j.dib.2019.104455
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author Rodriguez, Jae Joseph Russell B.
Bright, Jo-Anne
Salvador, Jazelyn M.
Laude, Rita P.
De Ungria, Maria Corazon A.
author_facet Rodriguez, Jae Joseph Russell B.
Bright, Jo-Anne
Salvador, Jazelyn M.
Laude, Rita P.
De Ungria, Maria Corazon A.
author_sort Rodriguez, Jae Joseph Russell B.
collection PubMed
description In the paper, “Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens” [1], we analysed 102 two-person DNA samples from simulated mixtures and male-female and male-male post-coital specimens. We report here data on profile characteristics of these samples and likelihood ratios (LRs) generated using semi- and fully continuous systems. Both log(10) LRs from true and non-contributor tests are presented. These data may supplement studies comparing performance of different probabilistic systems for DNA evidence interpretation.
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spelling pubmed-68118992019-10-30 Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems Rodriguez, Jae Joseph Russell B. Bright, Jo-Anne Salvador, Jazelyn M. Laude, Rita P. De Ungria, Maria Corazon A. Data Brief Biochemistry, Genetics and Molecular Biology In the paper, “Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens” [1], we analysed 102 two-person DNA samples from simulated mixtures and male-female and male-male post-coital specimens. We report here data on profile characteristics of these samples and likelihood ratios (LRs) generated using semi- and fully continuous systems. Both log(10) LRs from true and non-contributor tests are presented. These data may supplement studies comparing performance of different probabilistic systems for DNA evidence interpretation. Elsevier 2019-09-04 /pmc/articles/PMC6811899/ /pubmed/31667227 http://dx.doi.org/10.1016/j.dib.2019.104455 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Biochemistry, Genetics and Molecular Biology
Rodriguez, Jae Joseph Russell B.
Bright, Jo-Anne
Salvador, Jazelyn M.
Laude, Rita P.
De Ungria, Maria Corazon A.
Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title_full Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title_fullStr Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title_full_unstemmed Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title_short Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
title_sort data on likelihood ratios of two-person dna mixtures interpreted using semi- and fully continuous systems
topic Biochemistry, Genetics and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811899/
https://www.ncbi.nlm.nih.gov/pubmed/31667227
http://dx.doi.org/10.1016/j.dib.2019.104455
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