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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,527 datasets
A research dataset from figshare, authored by Yuxia Tao and last updated on 2026-05-04, presents results from a study on septic cardiomyopathy. The analysis integrates genome-wide association study data, Mendelian randomization, and bulk transcriptome analysis to identify candidate biomarkers. It includes results for 5 gut microbiota, 22 metabolites, 461 targets, and 166 differentially expressed genes, culminating in the identification of STAT3 and SLC5A1 as key biomarkers.
A research dataset from figshare, last updated May 2026, presents results from a study linking gut microbiota to septic cardiomyopathy. The analysis, conducted by Yuxia Tao, integrates bulk transcriptome data, Mendelian randomization, and machine learning to identify candidate biomarkers. The 37.6 KB file contains results including 5 gut microbiota taxa, 22 metabolites, 461 targets, and 166 differentially expressed genes.
STAT3 and SLC5A1 were identified as candidate biomarkers linking gut microbiota to septic cardiomyopathy through Mendelian randomization and transcriptome analysis. The 23.5 KB Excel file contains results from a study by Yuxia Tao, last updated in May 2026. Clinical validation showed elevated IL-6 and cTnI levels and decreased propylene glycol in SCM patients.
A qualitative study of 106 internally displaced persons (IDPs) and host community members in Hargeisa, Somaliland, focusing on water access and service provision. The dataset, authored by Ayan Hujaleh and shared under a CC-BY-4.0 license, compares three distinct IDP groups (assimilated, isolated, and marginalized) to understand variations in water services, support, and market dynamics. It was last updated on May 12, 2026.
896,015,205 base pair genome assembly of the Antarctic vascular plant Colobanthus quitensis across 41 chromosomes. The assembly was generated by Huiwon Choi using PacBio Revio and Nanopore Pore-C sequencing, with functional annotation via BLAST and InterProScan. The dataset was last updated on 2026-05-21.
Ivana Rosa provides the first chromosome-level genome assembly for the Amazonian native fish Piaractus brachypomus (red-bellied pacu). The final genome spans 1.34 Gb, with 99.35% of sequences anchored into 27 chromosomes and a BUSCO completeness score of 99.8%. The annotation identified 44.83% repetitive elements and predicted 25,501 protein-coding genes, 99.20% of which were functionally annotated.
A panel dataset supports research on governance and resilience in the CEMAC region from 2000 to 2023. It covers six CEMAC countries and includes variables such as export concentration HHI, lagged HHI, private gross fixed capital formation, government effectiveness, and a composite institutional variable. The dataset was authored by julio Ganga and last updated on May 17, 2026.
A transcriptomic analysis dataset comparing patients with hypertrophic cardiomyopathy (HCM) to control populations across three datasets. The research identified four hub differentially expressed ion channels (KCNC4, KCNN3, ANO1, CACNA2D3) and explored their associations with pathological features like myocardial hypertrophy and fibrosis. The dataset, authored by Shaohua Li and last updated in May 2026, is shared under a CC-BY-4.0 license.
Four hub genes were identified as characteristic of the immune-active phase of chronic hepatitis B using integrated bioinformatics and machine learning. The dataset, authored by Fangfang Li and last updated in May 2026, likely contains results from differential expression analysis and weighted gene co-expression network analysis (WGCNA) on transcriptomic data. It includes validation from single-cell RNA sequencing and western blot analysis of clinical samples.
Four hub genes—CCR5, IL10RA, KCNA3, and SLC24A4—were identified as characteristic of the immune-active phase in chronic hepatitis B. The dataset likely contains results from differential expression analysis and weighted gene co-expression network analysis (WGCNA) applied to the transcriptomic dataset GSE230397. Author Fangfang Li published this 244.7 KB Excel file under a CC-BY-4.0 license on figshare in May 2026.
Table 8_Identification of characteristic hub genes in the immune-active phase of chronic hepatitis B.xlsx is a dataset from a bioinformatics study published on figshare by Fangfang Li, last updated on 2026-05-04. It contains results from an integrated analysis of transcriptomic and single-cell RNA sequencing data to identify key genes in the immune-active phase of chronic hepatitis B. The dataset likely contains the identified hub genes, including SLC24A4, CCR5, IL10RA, and KCNA3, and their associated metrics.
Fangfang Li published this dataset on 2026-05-04. It contains results from a bioinformatics and machine learning analysis identifying hub genes specific to the immune-active phase of chronic hepatitis B. The data includes four identified hub genes, such as SLC24A4, validated via single-cell RNA sequencing and clinical samples.
Four hub genes—CCR5, IL10RA, KCNA3, and SLC24A4—were identified as characteristic of the immune-active phase of chronic hepatitis B. The data originates from integrated bioinformatics and machine learning analysis of transcriptomic and single-cell RNA sequencing datasets. Author Fangfang Li published the findings on figshare under a CC-BY-4.0 license in May 2026.
36 differentially expressed genes were identified as specific to the immune-active phase of chronic hepatitis B in the transcriptomic dataset GSE230397. The dataset, created by Fangfang Li and last updated in May 2026, contains hub genes identified via bioinformatics and machine learning approaches, validated with clinical samples and single-cell RNA sequencing data. It is a small, 11.5 KB Excel file shared under a CC-BY-4.0 license.
36 differentially expressed genes specific to the immune-active phase of chronic hepatitis B were identified from the GSE230397 transcriptomic dataset. The dataset, authored by Fangfang Li and last updated in May 2026, contains results from integrated bioinformatics and machine learning analyses, including four identified hub genes. It is a small, 11.5 KB Excel file shared under a CC-BY-4.0 license on figshare.
Table 4_Identification of characteristic hub genes in the immune-active phase of chronic hepatitis B.xlsx is a dataset from figshare, authored by Fangfang Li and last updated on 2026-05-04. It contains results from an integrated bioinformatics and machine learning study analyzing transcriptomic data from chronic hepatitis B patients. The data likely includes identified hub genes, such as SLC24A4, CCR5, IL10RA, and KCNA3, and their correlations with immune features.
A bioinformatics study identifying hub genes specific to the immune-active phase of chronic hepatitis B. The dataset includes results from differential expression analysis, weighted gene co-expression network analysis, and machine learning integration applied to transcriptomic data from peripheral monocytes. Author Fangfang Li published the work on figshare in May 2026 under a CC-BY-4.0 license.
Four hub genes—CCR5, IL10RA, KCNA3, and SLC24A4—were identified as characteristic of the immune-active phase of chronic hepatitis B. This 11.2 KB Excel table presents results from integrated bioinformatics and machine learning analysis of transcriptomic dataset GSE230397, validated with scRNA-seq and clinical samples. Author Fangfang Li uploaded the dataset under a CC-BY-4.0 license in May 2026.
Scopus citation data for 54 researchers from engineering, medicine, and social sciences in the United States, China, and Australia supports the development of new bibliometric indicators. The dataset, authored by Mohamd Laimon and last updated in May 2026, is used to analyze the he-index and a volume-normalized efficiency metric. It includes a subset with field-weighted citation impact (FWCI) for external validation of the proposed metrics.
A research article detailing experimental results on how human neutrophils detect and respond to group B Streptococcus bacteria. The study, authored by Luigi Fiore and last updated in May 2026, identifies a tripartite sensing mechanism involving formyl peptide receptors and Toll-like receptor 8. Data includes measurements of cytokine responses and reactive oxygen species from neutrophils isolated from healthy donors.