Unsupervized Quantification of Demographic Structure for Single-copy Alignments
Unsupervized Quantification of Demographic Structure for Single-copy Alignments
Abstract Single-copy sequence alignments have been a valuable source of information for genetic studies; their lack of recombination makes phylogenetic analyses tractable [1]. Specifically, mitochondrial DNA will continue to play an important role in genetic studies due to its high mutation rate and high copy per cell count of the molecule [2]. In this paper we develop a new method for the analysis of single-copy sequence data that simultaneously considers the relationships between sequenced individuals and positions of interest in the genome. We then show that tests for relationships between genetic information and qualitative and quantitative characteristics can be calculated. We motivate the use of our method with examples from empirical data.
Bean Nigel、Holland Barbara、Tobler Ray、Rohrlach AB、Tuke Jonathan、Cooper Alan、Glonek Gary
School of Mathematical Sciences, University of Adelaide||ARC Centre of Excellence for Mathematical and Statistical Frontiers, University of AdelaideSchool of Natural Sciences (Mathematics), University of TasmaniaAustralian Centre for Ancient DNA, School of Biological Sciences, University of AdelaideSchool of Mathematical Sciences, University of Adelaide||ARC Centre of Excellence for Mathematical and Statistical Frontiers, University of AdelaideSchool of Mathematical Sciences, University of Adelaide||ARC Centre of Excellence for Mathematical and Statistical Frontiers, University of AdelaideAustralian Centre for Ancient DNA, School of Biological Sciences, University of AdelaideSchool of Mathematical Sciences, University of Adelaide
生物科学理论、生物科学方法遗传学自然科学研究方法
Bean Nigel,Holland Barbara,Tobler Ray,Rohrlach AB,Tuke Jonathan,Cooper Alan,Glonek Gary.Unsupervized Quantification of Demographic Structure for Single-copy Alignments[EB/OL].(2025-03-28)[2025-05-21].https://www.biorxiv.org/content/10.1101/338442.点此复制
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