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158 results for “effective population size”
Data from: Modeling the growth and decline of pathogen effective population size provides insight into epidemic dynamics and drivers of antimicrobial resistance
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Data from: Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size
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Data from: Genetic signatures of small effective population sizes and demographic declines in an endangered rattlesnake, Sistrurus catenatus
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Data from: A comparison of single-sample estimators of effective population sizes from genetic marker data
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Data from: Effective number of breeders, effective population size and their relationship with census size in an iteroparous species, Salvelinus fontinalis
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Data from: Linkage disequilibrium and effective population size when generations overlap
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Data from: Estimations of linkage disequilibrium, effective population size and ROH-based inbreeding coefficients in Spanish Churra sheep using imputed high-density SNP genotypes
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Data from: The effect of neighborhood size on effective population size in theory and in practice
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Data from: Specific adaptation to strong competitors can offset the negative effects of population size reductions
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Data from: The roles of ecology, behavior and effective population size in the evolution of a community
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Data from: Fitness decline in spontaneous mutation accumulation lines of Caenorhabditis elegans with varying effective population sizes
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Data from: Evolution of a dominant natural isolate of Escherichia coli in the human gut over the course of a year suggests a neutral evolution with reduced effective population size
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Effective population size, extended linkage disequilibrium and signatures of selection in the rare dog breed Lundehund
GEO Series GSE66677. Canis lupus familiaris. 28 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
Data from: Estimation of effective population size in continuously distributed populations: there goes the neighborhood
Use of genetic methods to estimate effective population size (N^e) is rapidly increasing, but all approaches make simplifying assumptions unlikely to be met in real populations. In particular, all assume a single, unstructured population, and none has been evaluated for use with continuously distributed species. We simulated continuous populations with local mating structure, as envisioned by Wright's concept of neighborhood size (NS), and evaluated performance of a single-sample estimator based on linkage disequilibrium (LD), which provides an estimate of the effective number of parents that produced the sample (N^b). Results illustrate the interacting effects of two phenomena, drift and mixture, that contribute to LD. Samples from areas equal to or smaller than a breeding window produced estimates close to the NS. As the sampling window increased in size to encompass multiple genetic neighborhoods, mixture LD from a two-locus Wahlund effect overwhelmed the reduction in drift LD from incorporating offspring from more parents. As a consequence, N^b never approached the global N^e, even when the geographic scale of sampling was large. Results indicate caution is needed in applying standard methods for estimating effective size to continuously distributed populations.
Data from: Estimating contemporary effective population size in non-model species using linkage disequilibrium across thousands of loci
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Data from: Effects of cyclic changes in population size on neutral genetic diversity
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Data from: Evaluating methods for estimating local effective population size with and without migration
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Data from: Estimation of effective population size in continuously distributed populations: there goes the neighborhood
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.