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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,581 datasets
A 2026 study by Qian Li identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer (HGSOC). The dataset likely contains results from integrated analyses using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing. It was published on figshare under a CC-BY-4.0 license.
Qian Li's dataset contains results from a study identifying integrated stress response-related prognostic genes for high-grade serous ovarian cancer. The data was published on figshare on 2026-05-05. It includes findings from Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses.
A study published in 2026 by Qian Li identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer (HGSOC). The 18.0 KB Excel file contains results from an integrated analysis using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing. It includes a risk model for patient prognosis and associated drug sensitivity and pathway enrichment analyses.
A 16.0 KB Excel file from figshare, last updated 2026-05-05, contains data related to four identified prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer. The dataset was created by Qian Li and integrates results from Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. It supports a prognostic risk model that classifies patients into high- and low-risk groups.
Four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) identified for high-grade serous ovarian cancer via Mendelian randomization and RNA sequencing analyses. The dataset likely contains results from differential expression, Cox analysis, and risk model construction. The data was published by Qian Li on figshare in May 2026 under a CC-BY-4.0 license.
Research by Qian Li, published on figshare in 2026, identifies four integrated stress response-related prognostic genes for high-grade serous ovarian cancer. The dataset likely contains results from Mendelian randomization, single-cell, and bulk RNA sequencing analyses used to build a risk model. The file is 14.2 KB in size and was last updated on 2026-05-05.
Four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) were identified for high-grade serous ovarian cancer. The data was created by Qian Li and last updated on May 5, 2026. It integrates Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses.
A research dataset identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer. The data was generated by Qian Li using Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. The dataset was last updated on 2026-05-05.
Qian Li's research dataset identifies four prognostic genes (NUP35, CASP3, BAG5, DNAJB1) for high-grade serous ovarian cancer (HGSOC). The data was last updated on 2026-05-05 and integrates Mendelian randomization, single-cell RNA sequencing, and bulk RNA sequencing analyses. It includes results from a risk model, gene set enrichment, drug sensitivity analyses, and experimental validation.
Four prognostic genes (NUP35, CASP3, BAG5, and DNAJB1) for high-grade serous ovarian cancer were identified by Qian Li in a study integrating Mendelian randomization, single-cell, and bulk RNA sequencing data. The dataset, last updated in May 2026, contains results used to construct and evaluate a risk model for patient prognosis. The 50.6 KB Excel file is shared under a CC-BY-4.0 license on figshare.
A pilot study by Jingyan Ji, last updated in April 2026, investigates microbial markers in human saliva for forensic body mass index (BMI) inference. The dataset likely contains results from 16S rRNA sequencing of saliva samples, with analysis identifying twenty-two microbial taxa as potential BMI indicators. A random forest model was constructed to infer BMI categories based on these microbial markers.
Saliva samples from a pilot study were analyzed using 16S rRNA sequencing to characterize microbial community composition. The dataset includes results from linear discriminant analysis and Kruskal–Wallis tests identifying 22 microbial taxa as potential BMI-associated markers. Author Jingyan Ji published the data on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-04-21.
Microbial community composition data from human saliva samples, sequenced via 16S rRNA, to investigate associations with body mass index (BMI). The dataset was created by Jingyan Ji and last updated on 2026-04-21. It is a pilot study with a file size of 943.2 KB, indicating a limited scope.
Twenty pregnant Florida Cracker ewes were studied from 90 days of pregnancy through 35 days post-infection. The dataset contains parasitological, hematological, and colostrum metabolomic/lipidomic data comparing infected and control groups, authored by Sola J. Ikuejamoye-Omotore and last updated in April 2026. It includes fecal egg counts, FAMACHA scores, blood cell counts, and analysis of 4,702 lipid species and 23 differentially abundant metabolites in colostrum.
Twenty pregnant Florida Cracker ewes were experimentally infected with H. contortus to study its effects on colostrum and blood. The dataset includes parasitological, hematological, and colostrum metabolomic/lipidomic profiles from the peripartum period. Author Sola J. Ikuejamoye-Omotore published the data on figshare in 2026 under a CC-BY-4.0 license.
Twenty pregnant Florida Cracker ewes were studied to evaluate the effects of H. contortus infection on hematological, parasitological, and colostrum profiles. The dataset includes fecal egg counts, FAMACHA scores, full hematology analysis, and colostrum metabolomic/lipidomic data from the peripartum period. It was authored by Sola J. Ikuejamoye-Omotore and last updated on 2026-04-21.
Twenty pregnant Florida Cracker ewes were monitored from 90 days of pregnancy through lambing, with data collected up to 35 days post-infection. The dataset contains parasitological, hematological, and colostrum metabolomic/lipidomic profiles comparing infected and control groups. It was authored by Sola J. Ikuejamoye-Omotore and uploaded to figshare on 2026-04-21.
Atlantic salmon genomic data identifies regulatory haplotypes linked to gene expression. The dataset is 115.8 MB and was authored by Marie Saitou, last updated on June 3, 2026. It includes files in formats such as R, SLURM, and TSV.
A log records update operations for the Geobase road network sections. It contains section identifiers, operation dates and types, and version numbers for changes made after October 25, 2017, starting with version 618. The dataset does not include geospatial geometry for the affected road edges.
Geobase - Nodes is a spatial dataset of points (knots) representing intersections and limits of road sections in Montreal. It is a companion dataset to the Geobase road network, provided by the City of Montreal under an open data policy. The dataset was last updated in March 2026.