官方服务：
资源简介：
Pedigree format for DRIFTSEL QST-FST analyses
应用场景：
创建时间：
2017-01-01
相关数据集
ROC curves for nine simulated data sets obtained with the three different classifiers.
Six PDM data sets (T = 10, 50 and 100 generations and J = 4 and 8 populations) and 3 MDM data sets (FST = 0.05, 0.1 and 0.15 and J = 8 populations) were analyzed. Two ROC curves per analyzed data set
NIAID Data Ecosystem50
Population Genomic Analysis of 962 Whole Genome Sequences of Humans Reveals Natural Selection in Non-Coding Regions
Whole genome analysis in large samples from a single population is needed to provide adequate power to assess relative strengths of natural selection across different functional components of the geno
Figshare2016-01-15 更新30
Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation
An outstanding question in human genetics has been the degree to which adaptation occurs from standing genetic variation or from de novo mutations. Here, we combine several common statistics used to d
Figshare2016-01-19 更新30
Appendix C. Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text.
Three figures with observed QST – FST values plotted against simulated null distributions for expected values under selective neutrality; comparisons correspond to tests 1–3 as shown in Fig. 1 in text
NIAID Data Ecosystem30
Likelihood of several combinations of empirical neutrality test values around ZIP4 in different selection scenarios versus neutrality.
aLikelihoods were computed from the combined empirical probabilities obtained when considering the observed recombination landscape in ZIP4 (see Table S2)bNeutrality statistics include FST for populat
Figshare2015-12-02 更新30
