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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data
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John A.Kamm 作者
bioRxiv
譯者
2018-3-23 出版日期
44 頁數
0 價格
Hardcover
叢書系列
9787518707751 圖書編碼

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 圖書標籤: 分子生物學   

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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 用戶評價

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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 著者簡介

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 著者簡介

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在線電子書 圖書描述

The sample frequency spectrum (SFS), or histogram of allele counts, is an important summary statistic in evolutionary biology, and is often used to infer the history of population size changes, migrations, and other demographic events affecting a set of populations. The expected multipopulation SFS under a given demographic model can be efficiently computed when the populations in the model are related by a tree, scaling to hundreds of populations. Admixture, back-migration, and introgression are common natural processes that violate the assumption of a tree-like population history, however, and until now the expected SFS could be computed for only a handful of populations when the demographic history is not a tree. In this article, we present a new method for efficiently computing the expected SFS and linear functionals of it, for demographies described by general directed acyclic graphs. This method can scale to more populations than previously possible for complex demographic histories including admixture. We apply our method to an 8-population SFS to estimate the timing and strength of a proposed "basal Eurasian" admixture event in human history. We implement and release our method in a new open-source software package momi2.

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