Review: Computational analysis of human skeletal remains in ancient DNA and 
forensic genetics

Childebayeva, Ainash; Zavala, Elena I.

doi:10.1016/j.isci.2023.108066

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Review: Computational analysis of human skeletal remains in ancient DNA and forensic genetics

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Childebayeva, Ainash
Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Childebayeva, A., & Zavala, E. I. (2023). Review: Computational analysis of human skeletal remains in ancient DNA and forensic genetics. iScience, 26(11): 108066. doi:10.1016/j.isci.2023.108066.

Cite as: https://hdl.handle.net/21.11116/0000-000D-DB1D-D

Abstract

Degraded DNA is used to answer questions in the fields of ancient DNA (aDNA) and forensic genetics. While aDNA studies typically center around human evolution and past history, and forensic genetics is often more concerned with identifying a specific individual, scientists in both fields face similar challenges. The overlap in source material has prompted periodic discussions and studies on the advantages of collaboration between fields toward mutually beneficial methodological advancements. However, most have been centered around wet laboratory methods (sampling, DNA extraction, library preparation, etc.). In this review, we focus on the computational side of the analytical workflow. We discuss limitations and considerations to consider when working with degraded DNA. We hope this review provides a framework to researchers new to computational workflows for how to think about analyzing highly degraded DNA and prompts an increase of collaboration between the forensic genetics and aDNA fields. © 2023 The Author(s)