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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,530 datasets
A study by Huiwen Ke integrates summary statistics from a large-scale IBS genome-wide association study involving 53,400 cases and 433,201 controls with expression quantitative trait loci data. The analysis evaluates the causal effects of 5,642 potential druggable protein-coding genes on IBS risk, identifying eight candidate genes. The dataset was last updated on May 18, 2026.
Eight genes with potential causal associations for irritable bowel syndrome were identified from a druggable genome-wide Mendelian randomization analysis. The analysis integrated summary statistics from a large IBS GWAS with 53,400 cases and 433,201 controls and comprehensive blood eQTL data. Huiwen Ke published this dataset on figshare in May 2026.
5,642 potential druggable protein-coding genes were analyzed for causal effects on irritable bowel syndrome risk. The analysis integrated summary statistics from a genome-wide association study of 53,400 cases and 433,201 controls with blood expression quantitative trait loci data. This dataset, authored by Huiwen Ke and last updated in May 2026, presents the results identifying candidate drug targets EP300 and P2RY14.
A 2026 study by Huiwen Ke integrated summary statistics from a large IBS genome-wide association study involving 53,400 cases and 433,201 controls with blood expression quantitative trait loci data. The analysis evaluated the causal effects of 5,642 potential druggable protein-coding genes on IBS risk, identifying EP300 and P2RY14 as promising candidate targets.
A tabular dataset presents results from a druggable genome-wide Mendelian randomization analysis integrating GWAS and eQTL data to identify causal gene targets for irritable bowel syndrome. The analysis evaluated 5,642 protein-coding genes using summary statistics from a GWAS with 53,400 cases and 433,201 controls. The dataset was authored by Huiwen Ke and published on figshare in May 2026.
Huiwen Ke published a dataset on figshare in May 2026 containing results from a druggable genome-wide Mendelian randomization analysis for irritable bowel syndrome. The analysis integrated summary statistics from a large IBS GWAS with 53,400 cases and 433,201 controls and comprehensive blood eQTL data. It identified eight genes with potential causal associations, with EP300 and P2RY14 emerging as the most promising candidate drug targets.
A 2026 analysis by Huiwen Ke integrates summary statistics from a large-scale IBS genome-wide association study (53,400 cases and 433,201 controls) with blood expression quantitative trait loci data. The dataset likely contains results from a druggable genome-wide Mendelian randomization analysis evaluating 5,642 potential druggable protein-coding genes. It identifies and prioritizes genetically validated drug targets, such as EP300 and P2RY14, for irritable bowel syndrome.
A dataset of results from a druggable genome-wide Mendelian randomization analysis integrating GWAS and eQTL data to identify causal genes for irritable bowel syndrome. The analysis was conducted by Huiwen Ke and published on figshare in May 2026. It includes summary statistics from a large-scale GWAS involving 53,400 IBS cases and 433,201 controls.
A study by Huiwen Ke integrates GWAS and eQTL data to identify potential drug targets for irritable bowel syndrome. The analysis used summary statistics from a GWAS with 53,400 cases and 433,201 controls, evaluating 5,642 druggable genes. Results were validated with colocalization analysis and a phenome-wide association study.
A 2026 study by Jianmin Huang integrates bulk, single-cell, and spatial transcriptomic analyses to investigate epithelial barrier disruption in ulcerative colitis. The research identifies a GALNT12-centered mucin-associated epithelial program linked to barrier resilience and inflammatory injury. The underlying data is shared via figshare under a CC-BY-4.0 license.
Jianmin Huang published a transcriptomics dataset on figshare in 2026. The data integrates bulk, single-cell, and spatial transcriptomic analyses from discovery cohort GSE107499 to identify mucin-associated epithelial determinants relevant to ulcerative colitis. It includes findings on 15 dysregulated mucin-type O-glycosylation and mucin-associated genes, with functional validation in HT29-19A cells.
Transcriptomic data from bulk, single-cell, and spatial analyses investigating mucin-associated epithelial determinants in ulcerative colitis. The dataset includes results from a discovery cohort GSE107499 and functional validation experiments in HT29-19A cells. It was authored by Jianmin Huang and last updated on June 3, 2026.
Data Sheet 2 from figshare contains transcriptomic data analyzed in a study linking mucin-associated epithelial programs to inflammatory injury in ulcerative colitis. The dataset likely contains bulk, single-cell, and spatial transcriptomic analyses from the discovery cohort GSE107499. It was authored by Jianmin Huang and last updated on June 3, 2026.
A pharmacological study by ThankGod Mmaduabuchi Ogbonna, uploaded in 2026, evaluates the therapeutic potential of a plant extract. The research involved 30 albino rats divided into six groups and treated over 21 days. It measured dose-dependent effects on antioxidant enzymes and pro-inflammatory cytokines following arthritis induction.
Texas A&M University–Kingsville provides the complete chloroplast genome assemblies and annotations for three commercially important grapefruit cultivars. The data includes genome sequences in FASTA format and annotations in GenBank format, assembled from PacBio HiFi sequencing data. These resources were published in May 2026 to support reproducibility and genetic research.
A methodological paper and associated data for a factor model designed to analyze high-dimensional count responses with covariates across multiple studies. The work was authored by Wei Liu and last updated in May 2026. The 1.6 MB resource includes files in PDF, ZIP, GZ, and TXT formats.
Eight isolates from 40 goat blood samples in Bangladesh were identified as positive for the Burkholderia cepacia complex (Bcc), a first detection in animals in the country. The dataset contains primers used for molecular identification via PCR, Sanger sequencing, and phylogenetic analysis. It was authored by Abdullah Al Mamun and last updated in May 2026.
Su Youn Nam's dataset contains results from a nationwide cohort study examining the association between body mass index (BMI) change trajectories and gastric cancer risk. The study followed 2,800,588 cancer-free Korean adults aged 40 and over from 2009-2013 through 2017, identifying 14,662 incident gastric cancers. It evaluates effect modification by sex, age, smoking, and menopausal status using Cox proportional hazards models.
Su Youn Nam's dataset contains baseline characteristics for a nationwide cohort study examining the association between body mass index (BMI) trajectories and gastric cancer risk. The study followed 2,800,588 cancer-free Korean adults aged 40 and over from 2009/2013 through 2017, identifying 14,662 incident gastric cancers. It evaluates effect modification by sex, age, smoking, and menopausal status.
A hyperparameter configuration dataset supporting a novel hybrid deep learning framework for Intelligent Transportation Systems. The framework integrates BiLSTM, Transformer encoders, and Graph Convolutional Networks with API-based contextual feature fusion. The dataset, 5.5 KB in size, was authored by Mohammed Saad Javeed and last updated on 2026-05-29.