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197 results for “comparative genetics”
Figure 6 from: Kuznetsova V, Aguin-Pombo D (2015) Comparative cytogenetics of Auchenorrhyncha (Hemiptera, Homoptera): a review. In: Lukhtanov VA, Kuznetsova VG, Grozeva S, Golub NV (Eds) Genetic and cytogenetic structure of biological diversity in insects. ZooKeys 538: 63-93. https://doi.org/10.3897/zookeys.538.6724
Figure 6 - Histogram showing the distribution of female diploid chromosome numbers in Cicadoidea at species and generic levels, based on analysis of 10 species and 9 genera of the family Cicadidae.
Figure 8 from: Kuznetsova V, Aguin-Pombo D (2015) Comparative cytogenetics of Auchenorrhyncha (Hemiptera, Homoptera): a review. In: Lukhtanov VA, Kuznetsova VG, Grozeva S, Golub NV (Eds) Genetic and cytogenetic structure of biological diversity in insects. ZooKeys 538: 63-93. https://doi.org/10.3897/zookeys.538.6724
Figure 8 - Histograms showing the distribution of female diploid chromosome numbers in Cicadomorpha (a, b white columns) and Fulgoromorpha (a, b black columns) at species (a) and generic (b) levels, based on analysis of 819 species and 483 genera.
Figure 4 from: Kuznetsova V, Aguin-Pombo D (2015) Comparative cytogenetics of Auchenorrhyncha (Hemiptera, Homoptera): a review. In: Lukhtanov VA, Kuznetsova VG, Grozeva S, Golub NV (Eds) Genetic and cytogenetic structure of biological diversity in insects. ZooKeys 538: 63-93. https://doi.org/10.3897/zookeys.538.6724
Figure 4 - Histogram showing the distribution of female diploid chromosome numbers in Membracidae at species and generic levels, based on analysis of 52 species and 29 genera.
Figure 2 from: Kuznetsova V, Aguin-Pombo D (2015) Comparative cytogenetics of Auchenorrhyncha (Hemiptera, Homoptera): a review. In: Lukhtanov VA, Kuznetsova VG, Grozeva S, Golub NV (Eds) Genetic and cytogenetic structure of biological diversity in insects. ZooKeys 538: 63-93. https://doi.org/10.3897/zookeys.538.6724
Figure 2 - Histogram showing the distribution of female diploid chromosome numbers in Membracoidea at species and generic levels, based on analysis of 450 species and 302 genera of the families Cicadellidae, Membracidae, Ulopidae, Ledridae, and Aetalionidae.
Comparative Phylogeography of Three Marine Species with Different PLD Modes Reveals Two Genetic Breaks Across the Southern Caribbean Sea
<p><strong>Supplementary Materials: </strong><strong>Figure S1. </strong>Bar graphs of the population ancestry coefficient from the STRUCTURE program indicating the probable number of populations (<em>K </em>= 2 - 6) for each species: (<strong>a</strong>) <em>Acanthemblemaria rivasi</em>, (<strong>b</strong>) <em>Cittarium pica</em>, and (<strong>c</strong>) <em>Nerita tessellata</em>; <strong>Figure S2.</strong>Correlogram plots of correlation coefficients and averages of estimated <em>Ф</em><sub>ST</sub> at each linear geographic distance class mark (right) for (<strong>a</strong>) <em>Acanthemblemaria rivasi</em>, (<strong>b</strong>) <em>Cittarium pica</em>, and (<strong>c</strong>) <em>Nerita tessellata</em>; <strong>Figure S3.</strong> Dendrograms of <em>Ф</em><sub>ST </sub>values constructed with the UPGMA method for <em>A. rivasi</em>,<em> C. pica</em>, and <em>N. tessellata</em> and spatial autocorrelation analysis between the <em>Ф</em><sub>ST</sub> matrices relating the localities across the southern and southwestern Caribbean, Colombia sector. (<strong>a</strong>) Analysis between <em>A. rivasi</em> and <em>C. pica</em>; (<strong>b</strong>) <em>A. rivasi</em> and <em>N. tessellata</em>; (<strong>c</strong>) <em>C. pica</em> and <em>N. tessellata</em>. <em>FC </em>= topological concordance factor; <em>W </em>= Kendall's statistic for topological (<em>W</em>t) and genetic (<em>W</em>g) congruence; <em>rm </em>= Mantel correlation coefficient; <em>p </em>= significance level. The black, blue, and red colors of the site names indicate high, medium, and low concordance among their locations in the dendrograms; <strong>Table S1</strong>. The genetic diversity indices calculated for <em>Acanthemblemaria rivasi</em>, <em>Cittarium pica</em>, and <em>Nerita tessellata</em> in five localities distributed across the southern Caribbean Sea, Colombia sector. Num: number of alleles, Eff_num: effective number of alleles, <em>H</em>o: observed heterozygosity, <em>H</em>s: heterozygosity within populations, and <em>G</em>is: inbreeding coefficient.</p>
Data from: Comparative evaluation of potential indicators and temporal sampling protocols for monitoring genetic erosion
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Data for: The scales of coevolution: comparative phylogeography and genetic demography of a locally adapted venomous predator and its prey
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Data from: Can long-range PCR be used to amplify genetically divergent mitochondrial genomes for comparative phylogenetics? A case study within spiders (Arthropoda: Araneae).
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Data from: Genetic analysis of inflorescence and plant height components in sorghum (Panicoidae) and comparative genetics with rice (Oryzoidae)
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Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
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Comparative evaluation of genotyping technologies for investigative genetic genealogy in sexual assault casework
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Data from: Comparing G: multivariate analysis of genetic variation in multiple populations
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Using multiple seedlots in restoration planting enhances genetic diversity compared to natural regeneration in fragmented tropical forests
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Comparing isogenic pairs of hESC and hiPSC lines reveals genetic background and reprogramming method as primary sources of transcriptional variation
GEO Series GSE73211. Homo sapiens. 74 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Comparative Multi-omic Mapping of Human Pancreatic Islet Endoplasmic Reticulum and Cytokine Stress Responses Provide Insights into Type 2 Diabetes Genetics [ATAC-seq]
GEO Series GSE251910. Homo sapiens. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Comparative TSS-seq analysis among Arabidopsis natural variations revealed genetic stability of genic and non-genic promoters
GEO Series GSE298979. Arabidopsis thaliana. 24 samples. Type: Expression profiling by high throughput sequencing.
We want to check chromotin conformation changes and chromotin accesiblility. We also want to compare gene profile with and without indusilam resistant tumors in mouse genetic model
GEO Series GSE293865. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Comparative genomic and transcriptomic analysis revealed genetic characteristics related to solvent formation and xylose utilization in Clostridium acetobutylicum EA 2018
GEO Series GSE23071. Clostridium acetobutylicum; Clostridium acetobutylicum EA 2018; Clostridium acetobutylicum ATCC 824. 12 samples. Type: Expression profiling by array.
Comparative cardiac induction time-courses using wild-type or genetically modified human embryonic stem cells
GEO Series GSE100592. Homo sapiens. 24 samples. Type: Expression profiling by array.
Comparative Multi-omic Mapping of Human Pancreatic Islet Endoplasmic Reticulum and Cytokine Stress Responses Provide Insights into Type 2 Diabetes Genetics [scRNA-seq]
GEO Series GSE251912. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
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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)
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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.