Publisher Correction: Inferring whole-genome histories in large population datasets
نویسندگان
چکیده
منابع مشابه
Inferring population histories using genome-wide allele frequency data.
The recent development of high-throughput genotyping technologies has revolutionized the collection of data in a wide range of both model and nonmodel species. These data generally contain huge amounts of information about the demographic history of populations. In this study, we introduce a new method to estimate divergence times on a diffusion time scale from large single-nucleotide polymorph...
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The question as to whether cultures evolve in a manner analogous to that of genetic evolution can be addressed by attempting to reconstruct population histories using cultural data. As others have argued, this can only succeed if cultures are isolated enough to maintain and pass on a central core of traditions that can be modified over time. In this study we used a set of cultural data (canoe d...
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Whole-genome sequence is potentially the richest source of genetic data for inferring ancestral demography. However, full sequence also presents significant challenges to fully utilize such large data sets and to ensure that sequencing errors do not introduce bias into the inferred demography. Using whole-genome sequence data from two Holstein cattle, we demonstrate a new method to correct for ...
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There has been much interest in analyzing genome-scale DNA sequence data to infer population histories, but the inference methods developed hitherto are limited in model complexity and computational scalability. Here, we present an e cient, flexible statistical method that can utilize whole-genome sequence data from multiple populations to infer complex demographic models involving population s...
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Tools for estimating population structure from genetic data are now used in a wide variety of applications in population genetics. However, inferring population structure in large modern data sets imposes severe computational challenges. Here, we develop efficient algorithms for approximate inference of the model underlying the STRUCTURE program using a variational Bayesian framework. Variation...
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ژورنال
عنوان ژورنال: Nature Genetics
سال: 2019
ISSN: 1061-4036,1546-1718
DOI: 10.1038/s41588-019-0523-7