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732
datasets available to search
ShareScore release 0.9.0
Dataset results
732 results for “population variation”
Additive transcriptomic variation associated with reproductive traits suggest local adaptation in a recently settled population of the Pacific oyster, Crassostrea gigas
GEO Series GSE66103. Magallana gigas. 177 samples. Type: Expression profiling by array.
Diurnal variation of cellullar populations in mouse tongue epithelium
GEO Series GSE293526. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Population Structure, and Selection Signatures underlying High-Altitude Adaptation Inferred from Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
GEO Series GSE142218. Bos indicus; Bos grunniens; Bos taurus. 355 samples. Type: Genome variation profiling by SNP array.
Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations [11 cancer cell lines]
GEO Series GSE282350. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
Population genome variations revealed by diversifying selection in chickens
GEO Series GSE85318. Gallus gallus. 48 samples. Type: Expression profiling by high throughput sequencing.
Regional Epigenetic Variation in Asexual Snail Populations among Urban and Rural Lakes
GEO Series GSE133502. Potamopyrgus antipodarum. 9 samples. Type: Methylation profiling by high throughput sequencing.
A Map of Copy Number Variations in Chinese Populations
GEO Series GSE30481. Homo sapiens. 155 samples. Type: Genome variation profiling by SNP array.
Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations
GEO Series GSE283335. Homo sapiens. 52 samples. Type: Expression profiling by high throughput sequencing; Other.
Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations [CRISPR screen]
GEO Series GSE311810. Homo sapiens. 46 samples. Type: Other.
Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations [scRNA-seq]
GEO Series GSE311811. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Using individual coping styles to explain within-population variation in adaptive gene expression
GEO Series GSE40615. Danio rerio. 30 samples. Type: Expression profiling by array.
Exploratory pharmacogene variation in Ghanaian population
GEO Series GSE232865. Homo sapiens. 100 samples. Type: Genome variation profiling by SNP array.
Population structure shapes copy number variation in malaria parasites
GEO Series GSE75137. Plasmodium falciparum. 175 samples. Type: Genome variation profiling by genome tiling array.
Evaluation of Genetic Variation Contributing to Differences in Gene Expression between Populations
GEO Series GSE7851. Homo sapiens. 176 samples. Type: Expression profiling by array.
Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations [xenograft]
GEO Series GSE311813. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Data from: The devil is in the details: genetic variation in introduced populations and its contributions to invasion
The influence of genetic variation on invasion success has captivated researchers since the start of the field of invasion genetics 50 years ago. We review the history of work on this question and conclude that genetic variation—as surveyed with molecular markers—appears to shape invasion rarely. Instead, there is a significant disconnect between marker assays and ecologically relevant genetic variation in introductions. We argue that the potential for adaptation to facilitate invasion will be shaped by the details of genotypes affecting phenotypes, and we highlight three areas in which we see opportunities to make powerful new insights. (i) The genetic architecture of adaptive variation. Traits shaped by large-effect alleles may be strongly impacted by founder events yet more likely to respond to selection when genetic drift is strong. Large-effect loci may be especially relevant for traits involved in biotic interactions. (ii) Cryptic genetic variation exposed during invasion. Introductions have strong potential to uncover masked variation due to alterations in genetic and ecological environments. (iii) Genetic interactions during admixture of multiple source populations. As divergence among sources increases, positive followed by increasingly negative effects of admixture should be expected. Although generally hypothesized to be beneficial during invasion, admixture is most often reported among sources of intermediate divergence, supporting the possibility that incompatibilities among divergent source populations might be limiting their introgression. Finally, we note that these details of invasion genetics can be coupled with comparative demographic analyses to link genetic changes to the evolution of invasiveness itself.
Data from: Contrasting pattern of natural variation in global Drosophila melanogaster populations
Despite the popularity of Drosophila melanogaster in functional and evolutionary genetics, the global pattern of natural variation has not yet been comprehensively described in this species. For the first time, we report a combined survey using neutral microsatellites and mitochondrial sequence variation jointly. Thirty-five populations originating from five continents were compared. In agreement with previous microsatellite studies, sub-Saharan African populations were the most variable ones. Consistent with previous reports of a single 'out of Africa' habitat expansion, we found that non-African populations contained a subset of the African alleles. The pattern of variation detected for the mitochondrial sequences differed substantially. The most divergent haplotypes were detected in the Mediterranean region while Africa harbored most haplotypes, which were all closely related. In the light of the well-established African origin of D. melanogaster, our results cast severe doubts about the suitability of mtDNA for biogeographic inference in this model organism.
Data for "Integrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint"
<p>Data associated with the manuscript:</p> <p>"Integrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint"</p> <p>Please see code/documentation associated with these data at the links below: </p> <p>Analysis code + documentation: <a href="https://niaid.github.io/fsc/">https://niaid.github.io/fsc/</a></p> <p>Analysis code Github repository: <a href="https://github.com/niaid/fsc">https://github.com/niaid/fsc</a></p> <p>In the downloaded directory the subdirectory 'data' contains data files including: </p> <p><strong>flu_vacc_CITEseq_Seurat4.rds </strong>is CITE-seq data as a Seurat version 4 object for R. </p> <p><strong>flu_vacc_CITEseq_combinedassay.h5ad</strong> is CITE-seq data as a .h5ad object for python. </p>
Figure 3 from: Rossa R, Goczał J, Pawliczek B, Ohbayashi N (2017) Morphological variation in Leptura annularis Fabr. 1801 (Coleoptera, Cerambycidae) among European and Asiatic populations. ZooKeys 724: 31-42. https://doi.org/10.3897/zookeys.724.20667
Figure 3 Differences in wing size between six populations of Leptura annularis complex.
Figure 2 from: Rossa R, Goczał J, Pawliczek B, Ohbayashi N (2017) Morphological variation in Leptura annularis Fabr. 1801 (Coleoptera, Cerambycidae) among European and Asiatic populations. ZooKeys 724: 31-42. https://doi.org/10.3897/zookeys.724.20667
Figure 2 Schematic of landmarks positions on the hind wing of Leptura annularis complex.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.