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READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics.
Alaçamli, Erkin; Naidoo, Thijessen; Güler, Merve N; Saglican, Ekin; Aktürk, Sevval; Mapelli, Igor; Vural, Kivilcim Basak; Somel, Mehmet; Malmström, Helena; Günther, Torsten.
Afiliação
  • Alaçamli E; Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.
  • Naidoo T; Present Address: Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Güler MN; Ancient DNA Unit, Science for Life Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden.
  • Saglican E; Centre for Palaeogenetics, Stockholm, Sweden.
  • Aktürk S; Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
  • Mapelli I; Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
  • Vural KB; Department of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, Ankara, Turkey.
  • Somel M; Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
  • Malmström H; Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
  • Günther T; Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Genome Biol ; 25(1): 216, 2024 Aug 12.
Article em En | MEDLINE | ID: mdl-39135108
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arqueologia / Software / DNA Antigo Limite: Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arqueologia / Software / DNA Antigo Limite: Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia