Abstract

The advent of genome-wide ancient DNA analysis has revolutionized our understanding of prehistoric societies. However, studying biological relatedness in these groups requires tailored approaches due to the challenges of analyzing ancient DNA. READv2, an optimized Python3 implementation of the most widely used tool for this purpose, addresses these challenges while surpassing its predecessor in speed and accuracy. For sufficient amounts of data, it can classify up to third-degree relatedness and differentiate between the two types of first-degree relatedness, full siblings and parent-offspring. READv2 enables user-friendly, efficient, and nuanced analysis of biological relatedness, facilitating a deeper understanding of past social structures.

Details

Title
READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics
Author
Alaçamlı, Erkin; Naidoo, Thijessen; Güler, Merve N; Sağlıcan, Ekin; Aktürk, Şevval; Mapelli, Igor; Kıvılcım Başak Vural; Somel, Mehmet; Malmström, Helena; Günther, Torsten
Pages
1-20
Section
Method
Publication year
2024
Publication date
2024
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3102505039
Copyright
© 2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.