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Forensic genealogy: Some serious concerns

Syndercombe Court, Denise

Forensic science international. Genetics. Volume 36 (2018); pp 203-204 -- Elsevier Science

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Discovery of potential DNA methylation markers for forensic tissue identification using bisulphite pyrosequencing

Vidaki, Athina; Giangasparo, Federica; Syndercombe Court, Denise

Electrophoresis. Volume 37:Issue 21 (2016); pp 2767-2779 -- WILEY-VCH Verlag

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Determining the authenticity of athlete urine in doping control by DNA analysis

Devesse, Laurence; Syndercombe Court, Denise; Cowan, David

Drug testing and analysis. Volume 7:Issue 10 (2015, October); pp 912-918 -- John Wiley & Sons

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Determining the authenticity of athlete urine in doping control by DNA analysis

Devesse, Laurence

DRUG TESTING AND ANALYSIS volume 7 issue 10 page 912 -- John Wiley & Sons, Inc.

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DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

Vidaki, Athina et al.

Forensic science international -- Elsevier Science -- Volume: 28 Issue:; (pages 225-236) -- 2017

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Concordance of the ForenSeq™ system and characterisation of sequence-specific autosomal STR alleles across two major population groups

Devesse, Laurence et al.

Forensic science international. Genetics. Volume 34: (2018, May); pp 57-61 -- Elsevier Science

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DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

Vidaki, Athina et al.

Forensic science international. Genetics. Volume 28 (2017); pp 225-236 -- Elsevier Science

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Concordance of the ForenSeq™ system and characterisation of sequence-specific autosomal STR alleles across two major population groups

Devesse, Laurence et al.

Forensic science international. Genetics. Volume 34 (2018); pp 57-61 -- Elsevier Science

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DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models

Aliferi, Anastasia et al.

Forensic science international. Genetics. Volume 37: (2018, November); pp 215-226 -- Elsevier Science

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DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models

Aliferi, Anastasia et al.

Forensic science international. Genetics. Volume 37 (2018); pp 215-226 -- Elsevier Science

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