We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software R package provides Consensus Molecular Subtype (CMS) classification of colorectal cancer pre-clinical models. Used for consensus molecular subtyping of colorectal cancer pre-clinical models.
Web application to systematically collect, synthesise, and display experimental evidence in genetically-modified animal models of neurodevelopmental conditions.
Software Python pipeline for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.
Command-line and Python tool that automatically retrieves, preprocesses, and performs integrative analysis of publicly archived single-cell RNA-sequencing (scRNA-seq) datasets.
Core provides collection, annotation, and storage solutions. This Biorepository is also home to a state-wide resource, the Biorepository Alliance of Georgia for Oncology (BRAG-Onc), which functions to collect samples from 6 participating sites across the State to represent the diversity of cancer patients within the State and to enhance cancer research in Georgia.Tissue specimens are fast-frozen in vapor phase liquid nitrogen to preserve their integrity and stored in large cryofreezers at -170 to -190°C. Blood is routinely separated into serum or plasma and buffy coats prior to freezing. Blood derivatives are stored at -70 to -80°C. The freezers are monitored constantly and are connected to an alarm system to ensure that the low temperatures are maintained.
Core provides services including body/bone composition, comprehensive assessments of cardiovascular health (conduit vessel, microvascular, and central arterial stiffness), comprehensive assessment of lung health (spirometry, diffusion, lung clearance index, exhaled NO), and metabolic/exercise testing. Expanded core services in humans include oral glucose tolerance testing and continuous glucose monitoring, 24h ambulatory blood pressure monitoring, and assessments of autonomic nervous system, cognitive function, mitochondrial function, intramuscular fat, and electrocardiograms.
Core provides services in gene editing using CRISPR/Cas9 approach, services on preserving lines by cryopreservation of sperms, and resurrecting mouse lines using in vitro fertilization (IVF) or embryo transfer. Additional services include rederivation to create pathogen-free mouse lines, developing molecular reagents for genetic engineering, and providing expert advice on mouse genetics and breeding schemes.
Software cloud-based proteomics ML workflow for biomarker discovery.
Software package to arrange genomic categories and to add self-defined graphics in plot. Genomic plot in trellis layout. Visualizes genomic data conditioned by genomic categories (e.g. chromosomes). For each genomic category, multiple-dimensional data, which are represented as tracks, describe different features from different aspects.
Software R package creates 'D3' JavaScript network, tree, dendrogram, and Sankey graphs from R.
Software R package to enable genetic ancestry inference from various cancer sequence sources (RNA, Exome, and Whole-Genome sequences). This package also implements simulation algorithm that generates synthetic cancer-derived data. Used for accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms
Software repository contains the code for paper: Prediction of Drug-Target Interactions Based on Dual-Channel Heterogeneous Graph Neural Networks.
Software R package to calculate similarity metrics to facilitate copy number variant comparison among samples and/or methods.
Standalone software tool to detect cells, to obtain calcium spikes, and to determine underlying network structure of neuronal cell cultures. CALIMA 2.0 is updated version of software tool that detects and analyzes fluorescent signals and correlates cellular activity to identify possible network formation in Brain-on-chip cultures. Used to process calcium fluorescence imaging data.
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.
Web application for prediction of interactions between two RNA molecules. Used to predict mRNA target sites for given non-coding RNAs (ncRNAs) like eukaryotic microRNAs (miRNAs) or bacterial small RNAs (sRNAs), but it can also be used to predict other types of RNA-RNA interactions. IntaRNAv2 enables enhanced parameterization as well as fully customizable control over prediction modes and output formats.
Web application for RNA-protein interactions prediction.