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READv2：考古基因组学中生物关联性的高级且用户友好的检测。

READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics.

机构信息

Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.

Present Address: Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.

出版信息

Genome Biol. 2024 Aug 12;25(1):216. doi: 10.1186/s13059-024-03350-3.

DOI:10.1186/s13059-024-03350-3
PMID:39135108
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11318251/
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.

摘要

全基因组古 DNA 分析的出现彻底改变了我们对史前社会的理解。然而，由于分析古 DNA 的挑战，研究这些群体中的生物亲缘关系需要定制的方法。READv2 是最广泛用于此目的的工具的 Python3 优化实现，它解决了这些挑战，同时在速度和准确性方面超越了其前身。对于足够数量的数据，它可以对三级亲属关系进行分类，并区分两种一级亲属关系，即全同胞和父母-子女关系。READv2 实现了用户友好、高效和细致的生物亲缘关系分析，有助于更深入地了解过去的社会结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54d6/11318251/dc8fd38400a4/13059_2024_3350_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54d6/11318251/477186590d11/13059_2024_3350_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54d6/11318251/7b019a06a236/13059_2024_3350_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54d6/11318251/dc8fd38400a4/13059_2024_3350_Fig7_HTML.jpg

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