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Dataset results
650 results for “multiomics”
Multiomics Profiling of CSF in Cardiac Arrest Survivors
ClinicalTrials.gov study NCT07090577. IPD Sharing: NO. Countries: 1. Publications: 3.
Prevention of Colorectal Cancer Through Multiomics Blood Testing
ClinicalTrials.gov study NCT04369053. IPD Sharing: NO. Countries: 2. Publications: 3.
Impact of a Yoga Intervention on Pain and Multiomics in Participants With IBS
ClinicalTrials.gov study NCT04315714. IPD Sharing: YES. Countries: 1. Publications: 19.
Single-cell multiomics of neuronal activation reveals context-dependent genetic control of brain disorders
Open the record for dataset details and reuse information.
Single cell multiomic analysis identifies key genes differentially expressed in innate lymphoid cells from COVID-19 patients
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Unraveling the genetics of feline hypertrophic cardiomyopathy: A multiomics study of 138 cats
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Rapid phagosome isolation enables unbiased multiomic analysis of human microglia phagosomes 4
<p>Metabolomic data from phagosomes, controls and whole cell fractions of human ex vivo microglia.</p>
CT dataset for "Integrated multiomics signatures to optimize the accurate diagnosis of lung cancer" Part 2
<p>To develop and validate a radiomics-based method for lung cancer detection, chest CT images of patients with pulmonary nodules from clinical 5 centers were collected. We hope this large-scale dataset could facilitate both clinical research for automatic lung cancer detection and diagnoses, and engineering research for 3D detection, segmentation and classification. Due to size limit of zenodo.org, we split the whole CT images sets into 2 parts; This is the Part 2.</p> <p>This dataset is a research effort of thousands of hours by experienced thoracic surgeons, and radiologists. We kindly ask you to respect our effort by appropriate citation and keeping data license.</p>
C. elegans early embryo single-nucleus multiome dataset
<p>This R object (C_elegans_wt_early_embryo_GEX_ATAC_multiome.rds) contains a processed single-nucleus 10X Genomics multiome dataset for <em>C. elegans</em> wild-type early embryos. The dataset contains gene expression (GEX) and chromatin accessibility (ATAC) data, providing a multimodal view of regulatory dynamics during early embryonic development.</p>
Bayesian Network analysis for Single Cell Multiomics
<p>The data from stratified random samples of scRNA expression, surface marker and SNF cluster membership were integrated with high-resolution CT (HRCT) Scores of COVID-19 patients. The healthy and recovered individuals were assigned an HRCT score of zero, indicating absence of active pneumonia. The integrative modeling analysis was carried out using the wiseR package for end-to-end Bayesian network learning, inference and dashboard deployment. All continuous variables in the integrated data were discretized using the k-means algorithm with k=3 for biological interpretability as low, medium and high. A discrete Bayesian Network was learned from the data using hill climbing optimization for finding the directed acyclic graph encoding the structural dependencies between variables. Eleven Bayesian network structures were ensembled averaged to derive the consensus structure. The consensus structure was then parametrized with marginal and conditional probability distributions using Monte Carlo Markov Chain (MCMC) approximate inference method.</p>
scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference
<p>The increasing availability of single-cell multi-omics data allow to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference) to infer gene regulatory network by combining single cell gene expression and chromatin accessibility profiles. This allows to study complex gene regulation mechanisms for dynamic biological processes, such as cellular differentiation and disease development. We provide a case study on gene regulatory networks controlling myofibroblast activation in human myocardial infarction.</p>
Supplementary Data for the Project Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome
<p><strong>Supplementary Tables for the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"</strong></p> <p>Supplementary Table 1. List of 18 genome-sequenced human gut bacteria with metabolic characteristics that were used for community assembly.</p> <p>Supplementary Table 2. Diet composition.</p> <p>Supplementary Table 3. Species relative abundance.</p> <p>Supplementary Table 4. Gene abundance and expression changes.</p> <p>Supplementary Table 5. Gene pathway enrichment results.</p> <p>Supplementary Table 6. Metabolomics data.</p> <p>Supplementary Table 7. Metabolite fold changes, clustering and model parameters.</p> <p>Supplementary Table 8. Description of the intestinal flux model.</p> <p>Supplementary Table 9. Enzymatic paths between substrates and products.</p> <p>Supplementary Table 10. Pearson's correlation coefficients between potential substrates and products, and metagenomics and metatranscriptomic measurements.</p>
Data for "A unified model-based framework for doublet or multiplet detection in single-cell multiomics data"
<p>This repository contains all the data necessary for replicating, interpreting, and extending the COMPOSITE multiplet detection results featured in our manuscript, 'A Unified Model-Based Framework for Doublet or Multiplet Detection in Single-Cell Multiomics Data'. The data are ready to be directly used as input for the COMPOSITE cloud-based application or the Python package 'sccomposite' to replicate the results.</p>
Multiomic analysis of racehorses identifies the role of gut microbial butyrate in enhancing athletic performance via the gut-muscle/mitochondrial axis
<p>Gut microbes and their metabolites play a vital role in the health and host physiology, but how specific bacterial functions contribute to the exceptional athletic performance of racehorses needs to be better understood. Here, we identify an association of gut butyrate-producing bacteria with athletic performance in racehorses. Butyrate-producing bacteria and genes related to in butyrate synthesis were significantly enriched in the racehorse gut, and the targeted metabolomic results verified this conclusion. Supplementing butyrate in mice, we demonstrated that butyrate is sufficient to increase treadmill run time performance. We also show that butyrate improves the host response to exercise, significantly reducing inflammation in the small intestine, altering muscle fibre type in skeletal muscle, and increasing muscle mitochondrial function and activity. We also reported that the role of gut microbial butyrate might be conserved in the racehorse and human athlete. Overall, our study provides novel insights into gut microbial functions and paves the way for improving athletic performance by targeted gut microbiome manipulation.Gut microbes and their metabolites play a vital role in the health and host physiology, but how specific bacterial functions contribute to the exceptional athletic performance of racehorses needs to be better understood. Here, we identify an association of gut butyrate-producing bacteria with athletic performance in racehorses. Butyrate-producing bacteria and genes related to in butyrate synthesis were significantly enriched in the racehorse gut, and the targeted metabolomic results verified this conclusion. Supplementing butyrate in mice, we demonstrated that butyrate is sufficient to increase treadmill run time performance. We also show that butyrate improves the host response to exercise, significantly reducing inflammation in the small intestine, altering muscle fibre type in skeletal muscle, and increasing muscle mitochondrial function and activity. We also reported that the role of gut microbial butyrate might be conserved in the racehorse and human athlete. Overall, our study provides novel insights into gut microbial functions and paves the way for improving athletic performance by targeted gut microbiome manipulation.</p>
Clinical and Multiomics Study of First-line Chemotherapy for Advanced Pancreatic Cancer
ClinicalTrials.gov study NCT05168254. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multiomics Biomarkers for Urolithiasis
ClinicalTrials.gov study NCT05452291. IPD Sharing: NO. Countries: 1. Publications: 12.
Protocol for an Analytical Study With Microbiological, Phenotypic, Genotypic and Multiomics Techniques
ClinicalTrials.gov study NCT05090553. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Multiomics Approach in Metastatic Clear Renal Cell Carcnoma
ClinicalTrials.gov study NCT05782400. IPD Sharing: UNDECIDED. Countries: 1. Publications: 26.
Multiomic Approach to Radioresistance of Ependymomas in Children and Adolescents
ClinicalTrials.gov study NCT05151718. IPD Sharing: NO. Countries: 1. Publications: 32.
Cerebral Large Vessel Occlusion Stroke Multiomics Biosample Cohort
ClinicalTrials.gov study NCT06963489. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.