READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics
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.
Authors
- Şevval Aktürk (ORCID: https://orcid.org/0000-0003-4157-6551)
- Thijessen Naidoo (ORCID: https://orcid.org/0009-0009-3553-0718)
- Torsten Günther (ORCID: https://orcid.org/0000-0001-9460-390X)
- Igor Mapelli (ORCID: https://orcid.org/0000-0001-9814-7884)
- Mehmet Somel (ORCID: https://orcid.org/0000-0002-3138-1307)
- Ekin Sağlıcan (ORCID: https://orcid.org/0000-0001-8646-1163)
- Kıvılcım Başak Vural (ORCID: https://orcid.org/0000-0003-3964-3065)
- Merve Nur Güler (ORCID: https://orcid.org/0000-0001-7766-9333)
- Helena Malmström (ORCID: https://orcid.org/0000-0002-6456-8055)
- Erkin Alaçamlı (ORCID: https://orcid.org/0009-0009-0702-3313)
Institutions
- Uppsala University (SE)
- Stockholm University (SE)
- Middle East Technical University (TR)
- Science for Life Laboratory (SE)
- Centre for Palaeogenetics (SE)
- Estonian Biocentre (EE)
- Hacettepe University (TR)
Publication Details
- Journal
- Genome biology
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1186/s13059-024-03350-3
- Citations
- 45
- Primary Topic
- Forensic and Genetic Research
- Type
- article
- Field-Weighted Citation Impact
- 24.76
Funders
- Vetenskapsrådet
- Riksbankens Jubileumsfond
- Uppsala Universitet
- Uppsala Multidisciplinary Center for Advanced Computational Science
- HORIZON EUROPE European Research Council