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2,562 results for “SARS CoV 2”
Imputed Multiple Sequence Alignment used in 'Estimating the relative proportions of SARS-CoV-2 strains from wastewater samples'
<p>Multiple Sequence Alignment of imputed SARS-CoV-2 sequences used in 'Estimating the relative proportions of SARS-CoV-2 strains from wastewater samples'</p>
Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection
<p><strong>scRNA-seq data</strong></p> <p>Data were processed using cellranger v 4.0.0 with the refdata-gex-GRCh38-2020-A reference.</p> <p><em>h5files.zip</em>: contains all h5-Files of raw feature-barcode counts (e.g. 20094_0001_A_B_raw_feature_bc_matrix.new.h5 )</p> <p><em>raw_feature_bc_matrices.zip</em>: contains the <em>same data</em> as h5files.zip, but also in mtx-format.</p> <p>covid_object_ncomms<em>.RDS</em>: contains the Seurat file with which all analyses were conducted.</p> <p><em>samples2condition.df</em>: text file containing sample to condition information</p> <p><strong>Bulk RNA-seq</strong></p> <p><em>covid_bulk.zip</em> contains the count matrices extracted from the zUMIs runs for the bulk cohort.</p> <p><em>nasal_swabs.zip</em> contains the count matrices extracted from the zUMIs run for the nasal swab cohort.</p> <p>The extracted count matrices were then used with the bulk analysis scripts provided with the source code.</p> <p><strong>Source Code</strong></p> <p>All <strong>source code</strong> for the publication is available from: <a href="https://github.com/mjoppich/covidSC">https://github.com/mjoppich/covidSC</a> or from tagged releases: <a href="https://github.com/mjoppich/covidSC/releases/tag/ncomms">https://github.com/mjoppich/covidSC/releases/tag/ncomms</a></p> <p>When using any of these data, please cite:<br> <br> Pekayvaz et al., Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection, Nature Communications 2022</p>
Raw diffraction data for structure of SARS-CoV-2 main protease with Z31792168 (PDB: 7QT5)
<p>Raw diffraction data for SARS-CoV-2 main protease in complex with Z31792168 collected as part of an room-temperature crystallographic ligand screening experiments on beamline i24 at Diamond Light Source.</p>
Raw diffraction data for structure of SARS-CoV-2 main protease with Z4439011520 (PDB: 7QT7)
<p>Raw diffraction data for SARS-CoV-2 main protease in complex with Z4439011520 collected as part of an room-temperature crystallographic ligand screening experiments on beamline i24 at Diamond Light Source.</p>
Raw diffraction data for structure of SARS-CoV-2 main protease with Z1367324110 (PDB: 7QT6)
<p>Raw diffraction data for SARS-CoV-2 main protease in complex with Z1367324110 (SMILES:CN1CCCC=2C=CC(=CC12)S(=O)(=O)N) collected as part of an room-temperature crystallographic ligand screening experiments on beamline i24 at Diamond Light Source.</p>
Raw diffraction data for structure of SARS-CoV-2 main protease with Z4439011584 (PDB: 7QT9)
<p>Raw diffraction data for SARS-CoV-2 main protease in complex with Z4439011584 collected as part of an room-temperature crystallographic ligand screening experiments on beamline i24 at Diamond Light Source.</p>
Population-based, Age- and Gender- Stratified Sero-Survey Study for SARS-CoV-2 in Uganda
<p>Results of population-based age stratified seroepidemiological investigation in Uganda</p>
Seroprevalence of immunoglobulin G antibodies against SARS-CoV-2 in Cyprus
<p>Four vaccines that have been authorized in the European Union offer different levels of protection against SARS-CoV-2 by generating immune responses against the spike receptor-binding domain (RBD) of the virus. Monitoring the levels of IgG antibodies against the SARS-CoV-2 is important during the coronavirus disease 2019 (COVID-19) pandemic to plan an adequate and evidence-based public health response. We compared the levels of serum IgG antibodies against SARS-CoV-2 spike protein in three groups: i) individuals without evidence of prior infection with SARS-CoV-2 who received one or two doses of either an mRNA-based (Comirnaty BNT162b2/Pfizer-BioNTech or Spikevax mRNA-1273/Moderna) or an adenoviral-based vaccine (Vaxzervia ChAdOx1 nCoV-19 /Oxford-Astra Zeneca) (n=227), ii) unvaccinated individuals with evidence of prior infection with SARS-CoV-2 (n=109), and iii) individuals with evidence of prior infection with SARS-CoV-2 who received at least one dose of a vaccine (n=30). Unvaccinated individuals without evidence of prior infection with SARS-CoV-2 were used as a control group (n=211). Our results indicate that vaccine-induced responses lead to higher levels of IgG antibodies compared to those produced following infection with the virus. In agreement with previous studies, our results suggest that among individuals previously infected with SARS-CoV-2, even a single dose of a vaccine is adequate to elicit high levels of humoral immunity.</p>
Molecular Dynamics of hACE2 Receptor and SARS-CoV-2 Omicron-RBD (Receptor Binding Domain) in Electrostatics View
<p>Molecular Dynamics of hACE2 Receptor and SARS-CoV-2 Omicron-RBD (Receptor Binding Domain) in Electrostatics View.</p> <p>Molecular Dynamics performed with NAMD in Frontera supercomputer for 8 nanoseconds at 37 degrees Celsius. Electrostatics is visualized with ChimeraX (red is negative and blue is positive). By Victor Padilla-Sanchez, PhD; Texas Advanced Computing Center.</p>
SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells
<p>This dataset contains aggregated CellRanger output for six 10x Genomics (5'GEX+abTCR+Feature barcoding) experiments from the study by Minervina, Pogorelyy et al (<a href="https://www.medrxiv.org/content/10.1101/2021.07.12.21260227v3">medrxiv</a>). <br> The scripts to process it further are available at github (<a href="https://github.com/pogorely/COVID_vax_CD8">repository</a>). <br> Raw sequencing data is available at SRA (acc. PRJNA744851)</p>
Epistasis at the SARS-CoV-2 RBD Interface and the Propitiously Boring Implications for Vaccine Escape
<p>This repository includes:</p> <p> </p> <p>SI Appendix</p> <p>GISAID Acknowledgements</p> <p>An example resfile</p> <p>RosettaScripts .xml files</p> <p>Complex conformations (50 each) for WT/Delta/Gamma/Omicron; antibody (NAb) and receptor (ACE2)</p>
Raw Data for the article: Impaired anti-SARS-CoV-2 humoral and cellular immune response induced by Pfizer-BioNTech BNT162b2 mRNA vaccine in solid organ transplanted patients
<p>SARS‐CoV‐2 vaccine is considered the primary health strategy able to end the current COVID‐19 pandemic. This viral infection impacts more severely solid organ transplant recipients (SOTRs) than general population, but the effect of vaccination in this subgroup of immunosuppressed patients is not known due to their exclusion from vaccination trials. Preliminary reports suggest a lower antibody production after BNT162b2 Pfizer/BioNTech mRNA‐vaccine,<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222937/#ajt16702-bib-0001"> 1 </a>, <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222937/#ajt16702-bib-0002">2 </a>, <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222937/#ajt16702-bib-0003">3 </a>, <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222937/#ajt16702-bib-0004">4 </a>but no data are currently available on the elicited virus‐specific T cell responses.</p>
Interaction of Surface Glycoprotein of SARS-CoV-2 Variants of Concern with Potential Drug Candidates: A Molecular Docking Study
<p>This dataset contains additional docking images of SARS-CoV-2 Variants of Concern with drugs under study. It also contains a spreadsheet containing binding residues with different types of bonds. Further it includes the raw spike protein sequences, 3D model of spike proteins of VOCs (variant of concern) and potential drugs used in this study. </p>
Molecular Genetic Analysis of SARS-CoV-2 Lineages in Armenia - additional data
<p>Sequencing of SARS-CoV-2 provides essential information on viral evolution, transmission, and epidemiology. In this study, we performed whole-genome sequencing of SARS-CoV-2 using nanopore and Illumina short-read sequencing to describe the circulation of the virus lineage in Armenia.</p> <p>This dataset contains Nextstrain configuration files, the auspice JSON file, BEAST output logs, and trees files, and resulting log and tree files as well as R scripts and data files used in phylogenetic and functional analyses. </p> <p> </p>
Data from: SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals
<p class="MsoNormal"><span>The COVID-19 situation in Brazil is complex due to large differences in the shape and size of regional epidemics. Here we tested monthly blood donation samples for IgG antibodies from March 2020 to March 2021 in eight of Brazil's most populous cities. The inferred attack rate of SARS-CoV-2 adjusted for seroreversion in December 2020, before the Gamma VOC was dominant, ranged from 19.3% (95% CrI 17.5% - 21.2%) in Curitiba to 75.0% (95% CrI 70.8% - 80.3%) in Manaus. Seroprevalence was consistently smaller in women and donors older than 55 years. The age-specific infection fatality rate (IFR) differed between cities and consistently increased with age. The infection hospitalisation rate (IHR) increased significantly during the Gamma-dominated second wave in Manaus, suggesting increased morbidity of the Gamma VOC compared to previous variants circulating in Manaus. The higher disease penetrance associated with the health system's collapse increased the overall IFR by a minimum factor of 2.91 (95% CrI 2.43 – 3.53). These results highlight the utility of blood donor serosurveillance to track epidemic maturity and demonstrate demographic and spatial heterogeneity in SARS-CoV-2 spread.</span></p>
Dataset: Macro-Level Drivers of SARS-CoV-2 Transmission
<p>Data-set for research article: Macro-Level Drivers of SARS-CoV-2 Transmission: A Data-Driven Analysis of Factors Contributing to Epidemic Growth During the First Wave of outbreaks in the United States</p>
Data from: Detection of silent SARS-CoV-2 infection (S1 File)
<p><strong>Background</strong>: To control COVID-19 pandemic is of critical importance to the global public health. To capture the prevalence in an accurate and timely manner and to understand the mode of nosocomial infection are essential for its preventive measure.</p> <p><strong>Methods</strong>: We recruited 685 healthcare workers (HCW's) at Tokyo Shinagawa Hospital prior to the vaccination with COVID-19 vaccine. Sera of the subjects were tested by assays for the titer of IgG against S protein's receptor binding domain (IgG (RBD)) or IgG against nucleocapsid protein (IgG (N)) of SARS-CoV-2. Together with PCR data, the positive rates by these methods were evaluated.</p> <p><strong>Results</strong>: Overall positive rates among HCW's by PCR, IgG (RBD), IgG (N) with a cut-off of 1.4 S/C (IgG (N)1.4), and IgG (N) with a cut-off of 0.2 S/C (IgG (N)<sub>0.2</sub>) were 3.5%, 9.5%, 6.1%, and 27.7%, respectively. Positive rates of HCW's working in COVID-19 ward were significantly higher than those of HCW's working in non-COVID-19 ward by all the four methods. Concordances of IgG (RBD), IgG (N)1.4, and IgG (N)0.2 against PCR were 97.1%, 71.4%, and 88.6%, respectively. By subtracting the positive rates of PCR from that of IgG (RBD), the rate of overall silent infection and that of HCW's in COVID-19 ward were estimated to be 6.0% and 21.1%, respectively.</p> <p><strong>Conclusions:</strong> For the prevention of nosocomial infection of SARS-CoV-2, identification of silent infection is essential. For the detection of ongoing infection, periodical screening with IgG (RBD) in addition to PCR would be an effective measure. For the surveillance of morbidity in the population, on the other hand, IgG (N)<sub>0.2</sub> could be the most reliable indicator among the three serological tests.</p>
Dataset for the manuscript: Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages.
<p>Dataset for the manuscript:</p> <p>Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages. preprint, bioRxiv, 2022. DOI: 10.1101/2022.05.06.490883</p> <p>Each zip file contains the raw computational data (as a gzip compressed tarball), YAML input files, as well as Python plotting scripts. The Python plotting scripts have dependencies on the packages: <em>tarfile</em>, <em>multiprocessing</em>, <em>numpy</em>, <em>scipy</em>, and <em>matplotlib</em>. Note that the Python plotting scripts plot directly from the gzip compressed tarballs.</p> <p>The corresponding code can be found on GitHub: https://github.com/Ruth-Bowness-Group/CAModel</p>
Supplementary data to Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022
<p>ZIP folder containing supplementary files to the article entitled <em>Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022</em> and published in Emerging Infectious Diseases with doi <a href="https://dx.doi.org/10.3201/eid2807.220033">10.3201/eid2807.220033</a></p> <ul> <li>Script_EID_1.R is the R script analysing the data_EID1.csv screening test data file (Figure 1 and Suppl Figure F1, and Tables 1 and 3).</li> <li>Script_EID_2.R is the R script analysing the data_EID2.csv screening test data file (Figures 2, 3, 5, and Suppl Figure F2, and Table 2).</li> <li>Script_EID_sequencing_raw.R is the R script analysing the data_EID_sequencing.csv sequencing data file (Figures 4, 5, and Suppl Figure F3).</li> </ul>
Supplementary information, datasets and fluorescence images related to the article "The role of NSP6 in the biogenesis of the SARS-CoV-2 replication organelle"
<p>Supplementary information, datasets and fluorescence images related to the article "The role of NSP6 in the biogenesis of the SARS-CoV-2 replication organelle".<br> The PDF file entitled "Supplementary material" contains the uncropped original western blots and autoradiographs published in the article.<br> The PDF files entitled "Extended Data Fig.2,6,7,9,10 all panels" and "Figure 1,4 all panels" contain the original full-size confocal immunofluorescence images from which specific ROIs are published in the article.<br> The Excel files "Source Data Principal Figures" and "Source Data Extended Figures" contain all the original datasets used for calculation and graphical representation of data published in the article.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.