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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,582 datasets
The Vietnam Health and Aging Study (VHAS) second wave (2021–2022) provides aggregated summary data on PTSD symptom severity in community-dwelling Vietnamese adults aged 60 and older. The dataset includes summary statistics, frequencies, and logistic regression results from the PTSD Checklist for DSM-5 (PCL-5). It was authored by Le Xuan Hung and shared on figshare under a CC-BY-4.0 license.
Data from a 2026 study by Tajie Harris on enhancing microglia-specific genetic targeting in mice. The dataset includes experimental results from combining tamoxifen induction in Cx3cr1CreERT2 mice with PLX5622 treatment and uses T. gondii brain infection models with time points ranging from days to months. Files are organized by experimental approach and require Microsoft Excel for viewing.
Eduardo Aguilar-Rangel published an archive of metagenome assemblies and annotation data on figshare. The dataset contains genetic and taxonomic profiles from soils irrigated for 50 years and their irrigation water. The archive is 190.2 MB in size and was last updated on June 4, 2026.
Luqi Gao's dataset presents genetic analysis results for Age-Related Eye Disease (ARED). It contains 11 genome-wide significant loci identified using Genomic Structural Equation Modeling and post-processing of GWAS data. The research, last updated in May 2026, provides a genetic landscape for ARED.
11 genome-wide significant loci were identified for Age-related eye disease (ARED) using Genomic Structural Equation Modeling and post-processing of GWAS. The dataset likely contains prioritized candidate single nucleotide polymorphisms (SNPs) and functional annotations from transcriptome-wide association approaches. It was authored by Luqi Gao and last updated in May 2026.
Luqi Gao's research provides genetic association data for Age-Related Eye Disease (ARED). The dataset includes results from Genomic Structural Equation Modeling and post-processing of Genome-Wide Association Studies, identifying 11 genome-wide significant loci. It was last updated on May 14, 2026.
A genomic dataset identifies genetic factors for Age-related eye disease (ARED). It contains results from Genomic Structural Equation Modeling and transcriptome-wide association analyses, identifying 11 genome-wide significant loci. The dataset was authored by Luqi Gao and last updated on 2026-05-14.
11 genome-wide significant loci were identified for Age-related eye disease (ARED) using Genomic Structural Equation Modeling. This dataset, created by Luqi Gao and last updated in May 2026, presents prioritized candidate SNPs and gene signals from transcriptome-wide association analyses. The data is shared under a CC-BY-4.0 license as a 9.6 KB Excel file.
11 genome-wide significant loci were identified for Age-related eye disease (ARED) using Genomic Structural Equation Modeling and post-processing of GWAS. The research by Luqi Gao presents a genetic landscape of ARED by analyzing tissue-, cell layer-, and genomic element-associated gene signals. The dataset, last updated in May 2026, is available as an 11.2 KB XLSX file under a CC-BY-4.0 license.
Luqi Gao's research presents a genetic landscape for Age-related eye disease (ARED) using Genomic Structural Equation Modeling and post-GWAS analysis. The study identified 11 genome-wide significant loci and analyzed tissue- and cell layer-associated gene signals. The dataset was last updated on May 14, 2026.
A genetic study by Luqi Gao, last updated in May 2026, identifies candidate genetic variants for Age-related eye disease (ARED). The analysis used Genomic Structural Equation Modeling (Genomic-SEM) and post-processing of Genome-Wide Association Studies (GWAS) data. It reports 11 genome-wide significant loci and includes functional annotations of tissue- and cell layer-associated gene signals.
11 genome-wide significant loci were identified for Age-related eye disease (ARED) using Genomic Structural Equation Modeling. Luqi Gao published this genetic landscape analysis on figshare in May 2026, presenting statistically prioritized candidate single nucleotide polymorphisms. The research analyzed tissue-, cell layer-, and genomic element-associated gene signals to reflect age-related ocular vulnerabilities.
A genetic study identifies candidate genes for Age-related Eye Disease (ARED). Luqi Gao used Genomic Structural Equation Modeling (Genomic-SEM) and post-processing of Genome-Wide Association Studies (GWAS) to analyze tissue-, cell layer-, and genomic element-associated gene signals. The research, last updated in May 2026, reports 11 genome-wide significant loci and presents a genetic landscape for ARED.
A genetic study identifies statistically prioritized candidate SNPs associated with Age-related eye disease (ARED) variants. Luqi Gao created this dataset using Genomic Structural Equation Modeling and post-processing analysis of GWAS, last updated in May 2026. The research presents a genetic landscape of ARED by analyzing tissue-, cell layer-, and genomic element-associated gene signals.
A genetic analysis dataset containing results from Genomic Structural Equation Modeling and post-processing of Genome-Wide Association Studies for Age-related eye disease (ARED). The dataset, authored by Luqi Gao and last updated in May 2026, identifies 11 genome-wide significant loci and includes transcriptome-wide association signals across tissues and cell layers. It presents a genetic landscape for a phenotype not directly measured.
Luqi Gao published genetic data on age-related eye disease (ARED) on May 14, 2026. The dataset contains results from Genomic Structural Equation Modeling and post-processing of Genome-Wide Association Studies, identifying 11 genome-wide significant loci. It includes functional annotations and transcriptome-wide association signals related to ocular vulnerabilities.
11 genome-wide significant loci were identified for Age-related eye disease (ARED) using Genomic Structural Equation Modeling and post-processing analysis of GWAS. The research by Luqi Gao presents a genetic landscape of ARED by analyzing tissue-, cell layer-, and genomic element-associated gene signals. The dataset is available as a 9.3 KB XLSX file last updated in May 2026.
9.3 KB of tabular data compares the performance of a deep learning model for CT scan analysis under four preprocessing variants. The data, authored by Chao Zhang and last updated in May 2026, includes discrimination metrics like AUROC and PR-AUC, as well as threshold-based metrics and statistical significance tests. It shows that all tested alternative CT window settings and normalization methods performed worse than the standard 40/350 HU window with z-score normalization.
An Excel spreadsheet of 49.6 KB containing the individual-level data used to generate specific figures in a PLOS Biology article. The data, authored by Rong Bi, was last updated on May 7, 2026 and is shared under a CC-BY-4.0 license. It provides the underlying measurements for figures 3A, 3B, 4C, 5A, 5B, and S3 from the associated research.
73.7 KB of tabular data in XLSX format, authored by Ying-Jun Dong and last updated on 2026-05-07. This dataset contains the underlying numerical data used to generate specific figures in a PLOS Biology research article. The data is shared under a CC-BY-4.0 license on the figshare platform.