Introgression with background selection SI v2

Dryad2019-01-01 更新2026-04-13 收录

基因渗入模式

有效种群大小估计

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https://datadryad.org/resource/doi:10.5061/dryad.2kb6fh4/1 数据链接链接失效反馈

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资源简介：

Mathematica notebook, containing calculations used to estimate effective population size, and simulations of the introgression event.

创建时间：

2019-01-01

The effect of neighborhood size on effective population size in theory and in practice

种群遗传学

有效种群大小估计

The distinction between the effective size of a population (Ne) and the effective size of its neighborhoods (Nn) has sometimes become blurred. Ne reflects the effect of random sampling on the genetic

NIAID Data Ecosystem80

Alternative life-history strategy contributions to effective population size in a naturally spawning Salmon population

红鲑鱼遗传学

有效种群大小估计

Alternative life history tactics are predicted to affect within-population genetic processes but have received little attention. For example, the impact of precocious males on effective population siz

DataONE2024-12-04 更新50

Data from: A comparison of single-sample estimators of effective population sizes from genetic marker data

有效种群大小估计

保护遗传学

In molecular ecology and conservation genetics studies, the important parameter of effective population size (Ne) is increasingly estimated from a single sample of individuals taken at random from a p

DataONE2016-07-08 更新40

Data from: Estimation of contemporary effective population size and population declines using RAD sequence data

种群遗传监测

有效种群大小估计

Large genomic datasets generated with restriction-site associated DNA sequencing (RADseq), in combination with demographic inference methods, are improving our ability to gain insights into the popula

DataONE2017-11-15 更新80

Moderate genetic drift is driven by extreme recruitment events in the invasive mollusk Crepidula fornicata

入侵物种遗传漂变

有效种群大小估计

Effective population size (Ne) is a measure of genetic drift and is thus a central parameter in evolution, conservation genetics and invasion biology. Interestingly, in native marine species, Ne is ty

NIAID Data Ecosystem40

Introgression with background selection SI v2

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