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DIYABC reftable.header for ABC demographic analysis in Silene vulgaris

Dryad2014-01-01 更新2026-04-13 收录

近似贝叶斯计算

种群历史推断

数据链接：

http://datadryad.org/resource/doi:10.5061/dryad.vt8t7/4 数据链接链接失效反馈

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资源简介：

This file contains the metadata necessary to run approximate Bayesian computation in DIYABC for 2 historical demographic scenarios in Silene vulgaris.

应用场景：

创建时间：

2014-01-01

种群基因组学

近似贝叶斯计算

Approximate Bayesian Computation (ABC) is a powerful tool for model-based inference of demographic population histories from large genetic data sets. For most organisms its implementation has been ham

NIAID Data Ecosystem90

Demographic parameters estimated from trio data.

群体遗传学

种群历史推断

These times, population sizes and migration rates parameterize the history depicted in Figure 7. The migration rate is the fraction of the European population made up of new migrants from the YRI pop

NIAID Data Ecosystem40

YST_EUR_1069loc_BayeScan

群体遗传选择检测

种群历史推断

SNP data file for BayeScan analysis of data set for DIYABC analysis of YST in Eurasia

Dryad2018-01-01 更新20

The complex effects of demographic history on the estimation of substitution rate: concatenated gene analysis results in no more than twofold overestimation

种群历史推断

替代率估计

Our recent estimation of the divergence time and isolation of Death Valley pupfishes, including the iconic Devil’s Hole pupfish (DHP), rewrote widespread assumptions about this group. These species we

NIAID Data Ecosystem70

A practical introduction to sequentially Markovian coalescent methods for estimating demographic history from genomic data

种群历史推断

基因组数据分析方法

A common goal of population genomics and molecular ecology is to reconstruct the demographic history of a species of interest. A pair of powerful tools based on the sequentially Markovian coalescent h

NIAID Data Ecosystem40

DIYABC reftable.header for ABC demographic analysis in Silene vulgaris

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