Daniel Kling, Thore Egeland, Andreas Tillmar, Lourdes Prieto

Mass Identifications (eBook, PDF)

Statistical Methods in Forensic Genetics

• Format: PDF

Produktbeschreibung

Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent development in genetics (sequencing). The book's authors focus on practical applications and implementation, helping readers determine how to approach the problem to identify individuals using DNA and statistically summarize evidence. Written by leading experts in the field for forensic scientists, geneticists, forensic anthropologists, and pathologists working with identifications, the book is ideal for scientists and practitioners in many areas.

• Focuses on methods, challenges and solutions in DVI cases
• Covers the use of DNA databases searches and the statistical evaluation of genetic comparisons
• Includes exercises at the end of the book

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 202
• Erscheinungstermin: 19. April 2021
• Englisch
• ISBN-13: 9780128184240
• Artikelnr.: 61688680

Autorenporträt

Daniel Kling holds a PhD in biostatistics and is the author of several publications in forensic genetics including the book
"Relationship inference using Familias and RdStatistical methods in Forensic Genetics". His current research includes topics such as linked markers in relationship inference, software developments, and population genetics. He is the developer of the software
Familias, FamLink, and FamLinkX, all of which are widely used in forensics.

Inhaltsangabe

1. Introduction
what DNA analysis can do for mass identifications2. The data
ante and post mortem samples3. Evaluation of the data
comparing post mortem samples and selecting individuals to genotype4. Identification of missing persons5. Future Directions6. A case study