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Dataset results
123 results for “Target detection”
Data from: Detection of somatic epigenetic variation in Norway spruce via targeted bisulfite sequencing
Epigenetic mechanisms represent a possible mechanism for achieving a rapid response of long‐lived trees to changing environmental conditions. However, our knowledge on plant epigenetics is largely limited to a few model species. With increasing availability of genomic resources for many tree species, it is now possible to adopt approaches from model species that permit to obtain single‐base pair resolution data on methylation at a reasonable cost. Here, we used targeted bisulfite sequencing (TBS) to study methylation patterns in the conifer species Norway spruce (Picea abies). To circumvent the challenge of disentangling epigenetic and genetic differences, we focused on four clone pairs, where clone members were growing in different climatic conditions for 24 years. We targeted >26.000 genes using TBS and determined the performance and reproducibility of this approach. We characterized gene body methylation and compared methylation patterns between environments. We found highly comparable capture efficiency and coverage across libraries. Methylation levels were relatively constant across gene bodies, with 21.3 ± 0.3%, 11.0 ± 0.4% and 1.3 ± 0.2% in the CG, CHG, and CHH context, respectively. The variance in methylation profiles did not reveal consistent changes between environments, yet we could identify 334 differentially methylated positions (DMPs) between environments. This supports that changes in methylation patterns are a possible pathway for a plant to respond to environmental change. After this successful application of TBS in Norway spruce, we are confident that this approach can contribute to broaden our knowledge of methylation patterns in natural tree populations.
Data from: Fusobacterium nucleatum and Bacteroides fragilis detection in colorectal tumours: optimal target site and correlation with total bacterial load
<p>These data were generated to investigate detection of <em>Fusobacterium nucleatum </em>(<em>F. nucleatum</em>) and <em>Bacteroides fragilis</em> (<em>B. fragili</em>s) across different regions of human colorectal tumours. Relative abundance of each species in DNA extracted for clinical molecular mutation testing from formalin-fixed, paraffin-embedded (FFPE) tumour samples from 42 patients was assessed using targeted real-time PCR quantitative (qPCR) (the screening cohort). DNA was then freshly extracted from specific regions of tumours testing positive for one or both species (n = 20) and from 31 additional patients, and relative abundance of each species assessed using qPCR (site investigation cohort). Total bacterial load at the tumour luminal surface (where <em>F. nucleatum</em> and <em>B. fragilis</em> were most frequently detected) was also assessed by qPCR using primers targeting amplification of 16S rRNA. 16S sequencing was performed on tumour luminal surface DNA samples from five patients as an orthogonal method to confirm the ability to detect the targeted species by qPCR.</p>
Pupil dilation during orienting of attention and conscious detection of visual targets in patients with left spatial neglect
<p>Right Brain-Damaged patients (RBD) with left spatial neglect (N+), are characterised by deficits in orienting and re-orienting attention to stimuli in the contralesional left side of space. In a recent ERPs study with visual stimuli (Lasaponara et al., 2018) we have pointed out that the pathological attentional bias of N+ is matched with exaggerated novelty reaction and contextual updating of targets in the right ipsilesional space and reduced novelty reaction and contextual updating of targets in the left contralesional space. To characterise further the attentional performance of N+, here we measured Pupil Dilation (PDil), which is a reliable marker of noradrenergic-locus coeruleus activity and response to unexpected events/rewards. Compared to Neutral and Valid targets, N+ patients displayed a pathological reduction of PDil in response to infrequent Invalid targets in the left side of space, while in Healthy Controls (HC) and RBD without neglect (N-) the same targets enhanced PDil with respect to Neutral and frequent Valid targets. Invalid targets in the right side of space enhanced PDil in all experimental groups. Interestingly, both N- and N+ showed a consistent number of target omissions both in the left and right side of space. With respect to seen targets, N- showed reduced PDil in response to unseen targets both in the left and right side of space. In contrast, N+ had reduced PDil in response to unseen targets in the left side of space though not in the right side, where seen and unseen targets evoked comparable levels of PDil. These results disclose, for the first time, the PDil correlates of spatial attention in left spatial neglect and suggest that the pathological attentional bias suffered by N+ might enhance the autonomic responses reflected in PDil to unseen ipsilesional stimuli. This enhancement can contribute to biasing contextual updating and predictive coding of stimuli in the ipsilesional space, thus worsening the pathological attentional bias of N+.</p>
Trojan Detection Challenge - Analysis Track (Target Label Prediction) Dataset
<p>This contains the dataset for the target label prediction subtrack of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This contains the same files as the target_label_prediction folder in the full dataset Zenodo record, which can be found <a href="https://zenodo.org/record/6894041#.Yxl6x3XMJyM">here</a>, and it also contains the test networks. To download the test networks alone, the test set Zenodo record for the target label prediction track can be found <a href="https://zenodo.org/record/7217508">here</a>.</p>
Trojan Detection Challenge - Analysis Track (Target Label Prediction) Test Set
<p>This contains the test set for the target label prediction track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full target label prediction track Zenodo record, which can be found <a href="https://zenodo.org/record/7213751">here</a>.</p>
qPCR data for "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"
<p>qPCR data to accompany the manuscript "An innovative passive sampling approach for the detection of cyanobacterial gene targets in freshwater sources"</p>
A Study on a Blood-based Dual-target Test for CRC Detection
ClinicalTrials.gov study NCT05508503. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Detection of Atrial Fibrillation in Different Patient Target Groups Using the FibriCheck Smartphone Application
ClinicalTrials.gov study NCT03509493. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Accuracy of mpMRI and MRI-targeted, Ultrasound-navigated Prostate Fusion Biopsy in Detection of Prostate Cancer
ClinicalTrials.gov study NCT03615131. IPD Sharing: NO. Countries: 1. Publications: 36.
Role of Perfluorobutane in Lesion Detection, Targeting and Response Assessment for Ablation of HCC
ClinicalTrials.gov study NCT05068076. IPD Sharing: NO. Countries: 1. Publications: 1.
COPARIME: Pilot Study of a Target Detection of Malignant Melanoma
ClinicalTrials.gov study NCT01610531. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Non-Invasive Aortic Ambulatory Blood Pressure Monitoring for The Detection of Target Organ Damage in The Chinese Population
ClinicalTrials.gov study NCT03154203. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Detection of Plasmatic Cell-free BRAF and NRAS Mutations : a New Tool for Monitoring Patients with Metastatic Malignant Melanoma Treated with Targeted Therapies or Immunotherapy ( MALT )
ClinicalTrials.gov study NCT03493230. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Liquid Biopsy-based Detection of Resistance to Targeted Therapy in Prostate Cancer Patients
ClinicalTrials.gov study NCT03601143. IPD Sharing: NO. Countries: 1. Publications: 1.
Precision Imaging for Early Detection and Targeted Treatment Monitoring in Pancreatic Cancer
ClinicalTrials.gov study NCT06144762. IPD Sharing: NO. Countries: 1. Publications: 18.
Targeting High Risk Populations With Enhanced Reactive Case Detection in Southern Lao Peoples Democratic Republic
ClinicalTrials.gov study NCT04416945. IPD Sharing: NO. Countries: 1. Publications: 15.
MRI-targeted Biopsy of the Prostate: Software Versus Visual Registration in the Accuracy of Prostate Cancer Detection
ClinicalTrials.gov study NCT03819751. IPD Sharing: NO. Countries: 1. Publications: 9.
Prostate Cancer Detection Rate of Targeted Biopsies With PCaVision
ClinicalTrials.gov study NCT06281769. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Targeted Active Case Detection Among High Risk Populations in Southern Lao Peoples Democratic Republic
ClinicalTrials.gov study NCT03783299. IPD Sharing: NO. Countries: 1. Publications: 8.
CEUS Targeted Biopsies Compared to mpMRI Targeted and Systematic Biopsies for the Detection of Prostate Cancer
ClinicalTrials.gov study NCT02831920. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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.