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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data
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简体网页||繁体网页
John A.Kamm 作者
bioRxiv
译者
2018-3-23 出版日期
44 页数
0 价格
Hardcover
丛书系列
9787518707751 图书编码

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 图书标签: 分子生物学   

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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 著者简介

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Efficiently Inferring the Demographic History of Many Population with Allel Count Data 在线电子书 图书描述

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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