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102 results for “GBs”
Genotyping-by-sequencing (GBS) dataset for genome wide associations of growth, phenology and plasticity traits in willow (Salix viminalis (L.))
<p>These vcf-files constitute underlying raw data material for the manuscript "Genome wide associations of growth, phenology and plasticity traits in willow (Salix viminalis (L.))". For more detailed information please consult the README file in the repository.</p>
WEST Diversity Panel GBS information (Ferguson et al., 2020)
<p>Genotyping by sequencing information (5,512,653 SNPs on 850 individuals [842 unique]) used in the manuscript "Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions" (Ferguson et al., 2020) DOI:10.1101/2020.11.02.365213</p> <p>The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-DE-AR0000661. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.</p>
VCF File containing genotype calls for 136 Populus alba x Populus tremula hybrids obtained through both RAD-seq and GBS
<p>VCF file used to compare genotype calls obtained through RAD-seq and GBS for 126 common garden seedlings of Populus tremula and Populus alba hybrids. See Bresadola et al. (2019) for more details.</p>
Background rates literature review and visualization for Guillain Barré Syndrome (GBS)
<p>Background rates literature review spreadsheet and visualization in forest plots for Guillain Barré Syndrome (GBS)</p>
Mergus octosetaceus GBS data (vcf file)
<p>This VCF file contains SNPs derived from 30 individuals of the <i>Mergus octosetaceus </i>species. The data was obtained using the Genotyping by Sequencing (GBS) methodology and processed through the Stacks <i>de novo</i> pipeline.</p>
Alfalfa genotyping-by-sequencing (GBS) data
<p>Alfalfa (<i>Medicago</i> <i>sativa</i> L.) quantitative trait loci (QTL) mapping population (184 F<sub>1</sub>) derived from cultivars 3010 (cold-tolerant) as female parent and CW 100 (cold-sensitive) as male parent were genotyped using genotyping-by-sequencing (GBS). Polymorphic SNPs unique to either 3010 (AB x AA) or CW 1010 (AA x AB) were identified as single dose allele (SDA) markers and used to generate the genetic linkage maps. Two sets of linkage maps, a set for each parent, were used to map the traits and the QTL were identified. With the genotyping and phenotyping informations we were able to map various alfalfa traits such as fall dormancy, winter-hardiness, freezing tolerance, flowering time, yield and leaf-rust resistance. The raw sequence data were deposited at NCBI SRA with the accession number SRP150116. This study identified several genomic regions and associated markers that can be further utilized in marker-assisted breeding to improve the alfalfa. </p>
Extension Study to Evaluate the Immunogenicity and Safety of the Second Dose of GBS Trivalent Vaccine in Healthy Non-Pregnant Subjects.
ClinicalTrials.gov study NCT02690181. IPD Sharing: YES. Countries: 1. Publications: 1.
Magnitude of the Antibody Response to and Safety of a GBS Trivalent Vaccine in HIV Positive and HIV Negative Pregnant Women and Their Offsprings
ClinicalTrials.gov study NCT01412801. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Prevention of GBS Colonization Via Immunity
ClinicalTrials.gov study NCT00128219. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Immunogenicity and Safety of GBS-NN/NN2 in Pregnant Women
ClinicalTrials.gov study NCT05154578. IPD Sharing: Not stated. Countries: 3. Publications: 1.
Alfalfa genotyping-by-sequencing (GBS) data
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GBS SNP datasets from "Genotyping-by-sequencing resolves relationships in Polygonaceae tribe Eriogoneae", TAXON
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Tammar & parma wallaby GBS data from NZ
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GBS sequence of wheat population from JagMut1095 x Jagger
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GBS data and morphological nut trait data from two populations of hazelnut (<em>Corylus</em> spp.)
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Data from: Analysis of microsatellite loci in tree of heaven (Ailanthus altissima (Mill.) Swingle) using SSR-GBS
Microsatellite markers are still the marker of choice for many research questions in the field of forest genetics. However, the number of available markers is often low for species that have not been studied intensively like the tree of heaven (Ailanthus altissima). During the last decade, next generation sequencing (NGS) has offered advanced techniques for efficiently identifying microsatellite markers and accurately genotyping samples. Here, we identify new microsatellite markers for the tree of heaven by applying an NGS-based method using the Illumina MiSeq platform. NGS technology was proved to be an effective method for fast and cost-efficient identification of microsatellite markers by implementing a genotyping-by-sequencing approach based on Illumina amplicon sequencing (SSR-GBS). We screened three populations from Eastern Austria for genetic variation at 19 newly identified microsatellite loci. We tested two different genotyping approaches: (1) considering only allele lengths (forming a so-called 'allele length dataset'), (2) taking also single nucleotide polymorphisms (SNPs) within the amplified fragments into account (forming a so-called 'SNP dataset'). The results revealed higher values for all genetic diversity parameters, as well as a better resolution of genetic assignment, when the latter approach was followed. Thus, by taking advantage of sequence information which is provided by SSR-GBS, one may achieve considerable gains in performance using the same marker set. The developed markers provide a cost-efficient tool for genotyping populations of tree of heaven and the approach presented here promises to be of high value for medium throughput genotyping applications in non-model forest tree species. We will use this method to widen the perspectives for further population genetic investigations of the tree of heaven.
Population structure, landscape genomics, and genetic signatures of adaptation to exotic disease pressure in Cornus florida L. – insights from GWAS and GBS data
<p>Understanding the consequences of exotic diseases on native forests is important to evolutionary ecology and conservation biology because exotic pathogens have drastically altered US eastern deciduous forests. Cornus florida L. (flowering dogwood tree) is one such species facing heavy mortality. Characterizing the genetic structure of C. florida populations and identifying the genetic signature of adaptation to dogwood anthracnose (an exotic pathogen responsible for high mortality) remains vital for conservation efforts. By integrating genetic data from genotype-by-sequencing (GBS) of 289 trees across the host species range and distribution of disease, we evaluated the spatial patterns of genetic variation and population genetic structure of C. florida and compared the pattern to the distribution of dogwood anthracnose. Using GWAS and gradient forest analysis, we identified genetic loci under selection and associated with ecological and diseased regions. The results revealed signals of weak genetic differentiation of three or more subgroups nested within two clusters—explaining up to 2-6% of genetic variation. The groups largely corresponded to the regions within and outside the eastern Hot-Continental ecoregion, which also overlapped with areas within and outside the main distribution of dogwood anthracnose. The fungal sequences contained in the GBS data of sampled trees bolstered visual records of disease at sampled locations and were congruent with the reported range of D. destructiva, suggesting fungal sequences within host genomic data were informative for detecting or predicting disease. The genetic diversity between populations at diseased vs. disease-free sites across the range of C. florida showed no significant difference. We identified 72 SNPs from 68 loci putatively under selection, some of which exhibited abrupt turnover in allele frequencies along the borders of the Hot-Continental ecoregion and the range of dogwood anthracnose. One such candidate SNP was independently identified in two prior studies as a possible L-type lectin-domain containing receptor kinase. While diseased and disease-free areas do not significantly differ in genetic diversity, overall there are slight trends to indicate marginally smaller amounts of genetic diversity in disease-affected areas. Our results were congruent with previous studies that were based on a limited number of genetic markers in revealing high genetic variation and weak population structure in C. florida.</p>
GBS PTT SKID
Source: Objaverse 1.0 / Sketchfab
GBS and phenotype data for MASPOT population, a panel of tetraploid potato clones
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AESI Background Rates Literature Review & Visualization for Guillain-Barré Syndrome (GBS)
<p>AESI Background Rates Literature Review & Visualization for GBS</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)
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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.