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738 results for “Microsatellite”
Data from: Bombus impatiens colony microsatellite genotype data for mating frequency analysis
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Microsatellite data of Southern Dunlin breeding across the Baltic
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Microsatellites genotyping for common and lesser cuckoos
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Population changes in a whale breeding ground revealed by citizen science noninvasive genetics unique microsatellite profiles of southern right whales
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MicrosatNavigator: Exploring nonrandom distribution and lineage-specificity of microsatellite repeat motifs on vertebrate sex chromosomes across 186 whole genomes
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Microsatellite genotypes for temporal monitoring of the Floreana Island Galapagos Giant Tortoise captive breeding program
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Landscape genetics Afromontane forest birds - microsatellite data
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Microsatellite data from various African buffalo (Syncerus caffer) populations throughout Africa
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Data from: Fitness landscapes of human microsatellites
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Microsatellite data of Vincetoxicum hirundinaria offspring and their inferred mother plants from 13 populations in the South-Western Finnish Archipelago
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Microsatellite genotypes
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Dataset: DNA barcodes and microsatellites: how they complement for species identification in the complex genus Tamarix (Tamaricaceae)
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Microsatellite genotypes of Japanese abies species: Insights from population genetics and SDM
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Microsatellite Genotype data of <em>Populus fremontii</em> and <em>Populus angustifolia</em>
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Microsatellite genotypes of A. chlorotica parentage analysis
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Nuclear genetic diversity and structure of Anastrepha ludens wild populations evidenced by microsatellite markers
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Microsatellite data for Bull Trout
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Marten mitochondrial and microsatellite DNA from a contact zone in the United States
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Microsatellite genotypes of Pomatoschistus microps and Pomatoschistus marmoratus of southern France lagoons
<p><i>Pomatoschistus marmoratus </i>and <i>Pomatoschistus microps</i> are small sedentary gobies inhabiting the lagoons of European Mediterranean and Atlantic coasts. Along the French Mediterranean coast their respective geographical distribution is not precisely known, in part because they are cryptic species. In this study, 512 gobies of both species were caught as 17 samples in 12 lagoons of the <i>Golfe du Lion</i> on the French Mediterranean coast. They were genotyped at six microsatellite loci and investigated statistically using multidimensional analyses, Bayesian assignment (<span>Structure</span>) and <span>Newhybrids</span> classification. This allowed us to describe the contrasted distribution of each species (<i>P. microps</i> in the east, <i>P. marmoratus</i> in the west), with several exceptions. Neither geographic structure nor isolation by distance was detected among differentiated populations of each species. The suggested mechanism is a deep sedentary behaviour associated with foundations following extinctions. The two species are sympatric or even in syntopy in 5 or 6 sampled lagoons producing rare fertile hybrids.</p>
Major inconsistencies of inferred population genetic structure estimated in a large set of domestic horse breeds using microsatellites
<p>STRUCTURE remains the most applied tool aimed at recovering the true, but unknown, population structure from observed microsatellite data or other genetic markers. About 30% of <span class="Program"><span>STRUCTURE</span></span>-based studies could not be reproduced (Gilbert et al., 2012). Here we use a large set of data from 2323 horses from 93 domestic breeds plus the Przewalski horse, typed at 15 microsatellite markers, to evaluate how program settings, in particular the so far insufficiently evaluated number of replicates, impact the estimation of the optimal number of population clusters <i>K</i><sub>opt</sub> that best describe the observed data. Domestic horses are suited as a test case as there is extensive knowledge of the history of many breeds, extensive phylogenetic analyses. Different methods based on different genetic assumptions and statistical procedures (<span class="Program"><span>DAPC</span></span>, <span class="Program"><span>FLOCK</span></span>, PCoA and <span class="Program"><span>STRUCTURE</span></span> with different run scenarios) all revealed the general, broad-scale relationships among the breeds that largely reflect known breed histories but diverged largely how they characterized small-scale patterns. <span class="Program"><span>STRUCTURE</span></span> failed to consistently identify <i>K</i><sub>opt</sub> using the most widespread approach, the ΔK method, despite very large numbers of MCMCs (3,000,000) and replicates (100). The interpretation of breed structure over increasing numbers of<i> K</i>, without assuming a <i>K</i><sub>opt</sub>, was consistent with known breed histories. The over-reliance on <i>K</i><sub>opt</sub> should be replaced by a qualitative description of clustering over increasing <i>K</i>, which is scientifically more honest and has the advantage of being much faster and less computer intensive as lower numbers of MCMC iterations and repetitions suffice for stable results. Very large data sets are highly challenging for cluster analyses, especially when populations with complex genetic histories are investigated.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.