Curator Dashboard

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• 5 months ago - submitted by yoann rodriguez

Superfrost PLUS slides are designed to secure tissue sections without the need for laboratory-applied coatings

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• 5 months ago - submitted by yoann rodriguez

A 3' snRNA-seq dataset of the granular retrosplenial cortex (RSG) of mice and rats. Housed at the Neuroscience Multi-omic (NeMO) archive.

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• 5 months ago - submitted by Isla Brooks

This tool's description is here. But, now it is fixed? ' edit 11

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• 5 months ago - by Anonymous

This is a test - DELETE

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• 5 months ago - submitted by Albert Crowley

This is a test - DELETE

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• 5 months ago - submitted by Matt Travers

Software segmentation/resquiggling tool for ONT signals. Dynamic programming approach to segment ONT signals.

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• 6 months ago - submitted by Jannes Spangenberg

The AIME methodology is detailed in the paper available at The AIME methodology is detailed in the paper available at https://ieeexplore.ieee.org/document/10247033. AIME is proposed to address the challenges faced by existing methods in providing intuitive explanations for black-box models. AIME offers unified global and local feature importance by deriving approximate inverse operators for black-box models. It introduces a representative instance similarity distribution plot, aiding comprehension of the predictive behavior of the model and target dataset. This software only supports the global feature importance of AIME.

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• 6 months ago - submitted by Takafumi Nakanishi

MRanalysis is a comprehensive and user-friendly, web-based platform that provides the first integrated and standardized Mendelian randomization (MR) analysis workflow. This includes GWAS data quality assessment, power/ sample size estimation, MR analysis, SNP-to-gene enrichment analysis, and data visualization. Built using the R shiny framework, MRanalysis enables users to conduct common MR methods, including univariable, multivariable, and mediation MR analyses through an intuitive, no-code interface .

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• 6 months ago - submitted by Abao Xing

Core provides access to gamma- and x-ray irradiation technologies, services, and scientific consultations basic and translational studies of cancer. Services provided by the ISR include: 1) radiation physics and technical consultation for YCC investigators on the best use of the irradiators; 2) routine quality assurance tests to ensure accurate dose delivery by the irradiators; 3) on-going user training for safe operation of the irradiators and regulatory compliance; (4) technical assistance of irradiation experiments, including security escort for users who lack security clearance to use the Cesium-137 irradiator; and (5) proactive irradiator maintenance to ensure all irradiators remain in optimal state, 24 hours/day and 7 days/week

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• 6 months ago - by Anonymous

LSFM and SPIM often generate very large quantities of image data that require highly efficient data processing capabilities. Bruker’s Luxendo Image Processor and LuxBundle software are powerful, user-friendly tools that combine flexible control of the microscope and image viewer with high-throughput, high-quality post-processing capabilities.

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• 6 months ago - submitted by Shilin Zhong

Light-sheet fluorescence microscopy generates large image data, which require efficient acquisition and processing software. Bruker's LuxBundle software for light-sheet microscopes integrates flexible microscope control with LuxControl, image viewing with LuxViewer, and post-processing with LuxProcessor. It also offers three add-on modules for sample tracking, experiment set-up and navigation in LuxViewer, and flatfield correction

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• 6 months ago - submitted by Shilin Zhong

A variant annotator for GBA variants called by Illumina Gauchian tool.

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• 6 months ago - submitted by Anand Maurya

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• 6 months ago - by Anonymous

Command-line and Python tool that automatically retrieves, preprocesses, and performs integrative analysis of publicly archived single-cell RNA-sequencing (scRNA-seq) datasets.

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• 6 months ago - submitted by Yuya Sato

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• 6 months ago - submitted by Astrid Deschenes

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• 6 months ago - submitted by Astrid Deschenes

This resource includes datasets and code related to predicting drug-target interactions, primarily based on a dual-channel heterogeneous graph neural network. We have developed a dual-channel heterogeneous graph neural network that combines sequence and two-dimensional graph data to extract features of drugs and proteins. These features are integrated using a multi-head bilinear attention mechanism. Ultimately, we employ XGBoost for prediction, which is applied in the screening of anti-aging drugs.

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• 6 months ago - submitted by chenyang Fan

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• 7 months ago - submitted by Constantin Moeller

Cytokine Multiplex Assay Kits allow researchers to simultaneously detect the levels of multiple cytokines in a single sample. This is particularly useful for identifying the wide array of changes that can be associated with different pathological conditions.

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• 7 months ago - submitted by Naveenkumar Chandrashekar