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Dataset results
2,315 results for “Comparative analysis”
Transcriptome analysis of influenza infected GFP+ AEC compared to bystander GFP- AEC
GEO Series GSE119123. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Comparative Transcriptome Analysis of Peripheral Blood in High-Risk Preeclampsia versus Normotensive Pregnancies
GEO Series GSE296973. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Comparative analysis of gene expression upon IFNα stimulation in hepatocyte-like cells [IFN]
GEO Series GSE288203. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptomic analysis of Gardnerella vaginalis biofilms versus planktonic cultures using RNA-seq
GEO Series GSE80127. Gardnerella vaginalis AMD. 2 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptional analysis of the satellite glial cell injury response
GEO Series GSE188971. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Comparative analysis of mouse and human placentae across gestation reveals species-specific regulators of placental development [mouse]
GEO Series GSE100052. Mus musculus. 54 samples. Type: Expression profiling by array.
Comparative bulk RNAseq analysis of Control and PTH/PTHrP recepter-deficient PTHrP+ dental follicle cells
GEO Series GSE117936. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Comparing Transit Agency Peer Groups using Cluster Analysis-Data
<p>This data is from a 2019 analysis of transit ridership in the United States. The purpose of the analysis was to codify US transit agencies into comparable groups using publicly available data. The data is split into dedicated right of way modes, and mixed right of way modes. </p>
Figure 1 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Figure 1 An annular diagram of the Azygia hwangtsiyui mitochondrial genome.
Comparative evaluation of band-based genotyping methods for Mycobacterium intracellulare and its application for epidemiological analysis
<p><em>Mycobacterium intracellulare</em> is a leading cause of nontuberculous mycobacterial pulmonary disease, with a rapidly increasing prevalence worldwide. This bacterium, commonly distributed in soil and water, is known to be transmitted through the environment rather than between people. Therefore, it is imperative to establish distinguishable genotyping methods to understand the clinical outcome, disease relapses, and epidemiology. Therefore, the present study comprised two steps. First, variable number tandem repetition (VNTR), VNTR-mycobacterial interspersed repetitive units (VNTR-MIRU), repetitive sequence based-PCR (rep-PCR) and pulsed field gel electrophoresis (PFGE) as band-based genotyping methods were performed using 19 <em>M. intracellualre</em> isolated from patients with PD. The comparative results of genotyping techniques and geographical characteristics in this study may provide fundamental information for the epidemiology of <em>M. intracellulare</em>.</p>
Figure 3 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 3. Bemisia tabaci (Gennadius) specimen 12A #1, Tolima, Colombia, ex: cotton.
Comparative Analysis of Intraoperative Imaging Technologies in Neurosurgical Applications
<p><br>The image provides a comparative overview of four different intraoperative imaging technologies utilized in neurosurgery and other medical fields: Intraoperative CT (Computed Tomography), Intraoperative MRI (Magnetic Resonance Imaging), Intraoperative USG (Ultrasonography), and O-Arm Imaging System.I have created it based on my 15 years of experience working first hand with them, individually. </p><p><strong>Intraoperative CT</strong> offers high-resolution imaging and excellent bone detail, making it suitable for a broad range of applications including neurosurgery, orthopedics, and trauma. It is relatively fast but involves radiation exposure, which is a consideration in pediatrics and repeated procedures. The installation cost ranges from approximately $1 to $2.5 million, with moderate running costs.</p><p><strong>Intraoperative MRI</strong> is noted for its superior soft tissue contrast and is most ideal for brain, spinal cord, and nerve imaging. It is primarily used in neurosurgery and has higher installation and running costs, approximately $2 to $4 million, partly due to the need for maintenance and staff. Its benefits include excellent soft tissue detail and the absence of radiation exposure, but it has longer scan times and is sensitive to movement.</p><p><strong>Intraoperative USG</strong> is good for real-time imaging and is mostly used for abdominal, cardiac, and biopsy procedures. It is safe, with no radiation exposure, and comfortable for patients. Its cost-effectiveness is highlighted, with equipment costs ranging from $20,000 to $100,000, and it has low running costs. However, it has limited bone imaging capabilities and depth resolution.</p><p><strong>O-Arm Imaging System</strong> provides high-quality 2D and 3D images, making it suitable for spinal and orthopedic surgery. Its installation cost is similar to that of intraoperative CT, between $1 to $2.5 million, with moderate running costs. It offers fast imaging and is adaptable to surgical workflow but requires a specific OR setup compatible with navigation systems.</p><p>Each technology has its specific benefits and limitations, with the choice of the appropriate imaging system depending on the surgical situation, patient safety considerations, and cost factors.</p>
Figure 2 from: Salama AH (2024) The promise and challenges of ChatGPT in community pharmacy: A comparative analysis of response accuracy. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e116927
Figure 2 Templet about alternative therapy questions.
Figure 1 from: Salama AH (2024) The promise and challenges of ChatGPT in community pharmacy: A comparative analysis of response accuracy. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e116927
Figure 1 Templet of questions posed.
Figure 3 from: Salama AH (2024) The promise and challenges of ChatGPT in community pharmacy: A comparative analysis of response accuracy. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e116927
Figure 3 Percentage of correct answers.
Figure 1 from: Sun C-H, Huang Q, Zeng X-S, Li S, Zhang X-L, Zhang Y-N, Liao J, Lu C-H, Han B-P, Zhang Q (2022) Comparative analysis of the mitogenomes of two Corydoras (Siluriformes, Loricarioidei) with nine known Corydoras, and a phylogenetic analysis of Loricarioidei. ZooKeys 1083: 89-107. https://doi.org/10.3897/zookeys.1083.76887
Figure 1 Gene maps of the two newly sequenced Corydoras species.
Figure 8 from: Chen Z-T (2022) Comparative mitogenomic analysis of two earwigs (Insecta, Dermaptera) and the preliminary phylogenetic implications. ZooKeys 1087: 105-122. https://doi.org/10.3897/zookeys.1087.78998
Figure 8 Predicted structural elements in the control region of Diplatys flavicollis.
Figure 7 from: Chen Z-T (2022) Comparative mitogenomic analysis of two earwigs (Insecta, Dermaptera) and the preliminary phylogenetic implications. ZooKeys 1087: 105-122. https://doi.org/10.3897/zookeys.1087.78998
Figure 7 Predicted structural elements in the control regions of Apachyus feae.
Figure 3 from: Chen Z-T (2022) Comparative mitogenomic analysis of two earwigs (Insecta, Dermaptera) and the preliminary phylogenetic implications. ZooKeys 1087: 105-122. https://doi.org/10.3897/zookeys.1087.78998
Figure 3 Relative synonymous codon usage (RSCU) of PCGs in six species of earwigs.
Figure 2 from: Chen Z-T (2022) Comparative mitogenomic analysis of two earwigs (Insecta, Dermaptera) and the preliminary phylogenetic implications. ZooKeys 1087: 105-122. https://doi.org/10.3897/zookeys.1087.78998
Figure 2 Mitochondrial gene arrangement of six earwigs in comparison with Drosophila yakuba.
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.