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3,690
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3,690 results for “Computing”
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations [scRNA-seq]
GEO Series GSE268249. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Computational design of sequence-specific DNA-binding proteins
GEO Series GSE237017. Homo sapiens; synthetic construct. 12 samples. Type: Other.
Computational Repurposing of Bumetanide for Preventing or Treating Alzheimer’s Disease [AT2123B_iPS_Bumex_RNA-seq]
GEO Series GSE182761. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
A novel computational complete deconvolution method using RNA-seq data
GEO Series GSE123604. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
Computational detection and experimental validation of segmental duplications and associated copy number variants in river buffalo (Bubalus bubalis)
GEO Series GSE118117. Bubalus bubalis. 14 samples. Type: Genome variation profiling by genome tiling array.
Computational Analysis of Bacterial RNA-Seq Data
GEO Series GSE45444. Neisseria gonorrhoeae F62. 3 samples. Type: Expression profiling by high throughput sequencing.
Local and CNS-wide astrocyte intracellular calcium signalling attenuation in vivo with CalExflox mice: experimental and computational exploration
GEO Series GSE164235. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
SPaRTAN, a computational framework for linking cell-surface receptors to transcriptional regulators
GEO Series GSE172155. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
Computational prediction of miRNAs and their targets in Phaseolus vulgaris using simple sequence repeat signatures
GEO Series GSE68305. Phaseolus vulgaris. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A GENETIC, GENOMIC, AND COMPUTATIONAL RESOURCE FOR EXPLORING NEURAL CIRCUIT FUNCTION
GEO Series GSE116969. Drosophila melanogaster. 266 samples. Type: Expression profiling by high throughput sequencing.
DATASET: Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
<p>Inquiries about these data sets should be addressed to <strong>Dr. Omid Sedehi</strong> at <strong>osedehi@connect.ust.hk</strong>.</p> <p>To cite this data set, you may refer to <strong>https://doi.org/10.1016/j.ymssp.2020.106663</strong></p>
A pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p><strong>Introduction</strong></p> <p>This supporting information includes one figure S1, which is the representative elemental volume (REV) used in this study. And the figure S1 is consisted of 300 slices with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p> </p> <p>Figure S1 is uploaded with file name Figure S1-REV300.am, which is the representative elemental volume (REV) used in this study</p>
Pore-scale 3D dynamic morphological modeling and physical characterization of hydrate-bearing sediment based on computed tomography images
<p>This supporting information includes one Figure-S1-REV300, which is the representative elemental volume (REV) used in this study. And the Figure-S1-REV300 is 300*300*300 with a voxel size of 4.4 μm. There are two phases in the REV: the sand and the pore.</p> <p>Figure S1 is uploaded with file name Figure S1-REV300.tif, which is the representative elemental volume (REV) used in this study</p>
Doubly vinylogous and doubly rearomative functionalization of 2-alkyl-3-furfurals - computational data
<p>Computational data concerning geometries and energies of substrates, transition states and product for four possible approaches of quinone substrate to enamine. </p>
Engineering Relaxation Pathways in Building Blocks of Artificial Spin Ice for Computation
<p>Open access data set for manuscript Engineering Relaxation Pathways in Building Blocks of Artificial Spin Ice for Computation published in Phys. Rev. Applied <strong>11</strong>, 054086 (2019)</p>
Ensembles for: Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins
<p>Flexible Meccano and Campari conformational ensembles used in the publication "<em>Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins</em>" by Ahmed M.C., Crehuet R., Lindorff-Larsen K.. Paper available at: https://doi.org/10.1007/978-1-0716-0524-0_21</p>
Designing Computer Science Competency Statements: A Process and Curriculum Model for the 21st Century
<p>Companion materials - Based on CS2013 Knowedge Areas - Competency Statements for CS Curricula:</p> <p>Produced by members of the ITiCSE 2020 Working Group Report:</p> <p>Designing Computer Science Competency Statements: A Process and Curriculum Model for the 21st Century</p> <p>Clear, A., Clear, T., Vichare, A., Charles, T., Frezza, S., Gutica, M., . . . Pitt, F. (2020). Designing Computer Science Competency Statements: A Process and Curriculum Model for the 21st Century [In Press]. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. TBA): ACM.</p>
Evolutionary computing and machine learning for the discovering of low-energy defect configurations
<p>The archive "dataset.tar.gz" contains the structures obtained and reported in the study:<br> "Evolutionary computing and machine learning for the discovering of low-energy defect configurations".</p> <p>Read the README file for detailed information about the archive content and how to read the hdf5 files.</p>
Computational Modelling and Experimental Characterisation of the Fabrication of Tuneable Photonic Crystal pH Sensors: Supplementary Simulation Videos
<p>Simulation output videos to accompany the paper 'Computational Modelling and Experimental Characterisation of the Fabrication of Tuneable Photonic Crystal pH Sensors'.</p> <ul> <li>Film writing, with exported film image</li> <li>Film reading, at various expansions and pulse wavelengths (selected as the diffraction peak wavelengths identified in the paper)</li> </ul>
Data from: Birt-Hogg-Dube syndrome prospectively detected by review of chest computed tomography scans
Purpose: Birt-Hogg-Dube syndrome (BHD) is a rare disorder caused by mutations in the gene that encodes folliculin (FLCN) and is inherited in an autosomal dominant manner. BHD is commonly accompanied by fibrofolliculomas, renal tumors, multiple pulmonary cysts, and spontaneous pneumothorax. The aim of this study was to detect BHD prospectively in patients undergoing chest computed tomography (CT) scans and to evaluate further the characteristics of BHD in Korea. Methods: We prospectively checked and reviewed the chest CT scans obtained for 10,883 patients at Gangnam Severance Hospital, Seoul, Korea, from June 1, 2015 to May 31, 2016. Seventeen patients met the study inclusion criteria and underwent screening for FLCN mutation to confirm BHD. We analyzed the characteristics of the patients confirmed to have BHD and those for a further 6 patients who had previously been described in Korea. Results: Six (0.06%) of the 10,883 patients reviewed were diagnosed with BHD. There was no difference in demographic or clinical features between the patients with BHD (n=6) and those without BHD (n=11). Pneumothorax was present in 50% of the patients with BHD but typical skin and renal lesions were absent. The maximum size of the cysts in the BHD group (median 39.4 mm; interquartile range [IQR] 11.4 mm) was significantly larger than that in the non-BHD group (median 15.8 mm; IQR 7.8 mm; P = 0.001). Variable morphology was seen in 100.0% of the cysts in the BHD group but in only 18.2% of the cysts in the non-BHD group (P = 0.002). Nine (95%) of the total of 12 Korean patients with BHD had experienced pneumothorax. Typical skin and renal lesions were present in 20.0% of patients with BHD. Conclusions: Our findings suggest that BHD can be detected if chest CT scans are read in detail.
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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.