We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Core provides centralized services, consultation, training and technical support to advance transgenic animal genotyping and cardiovascular, metabolic and behavioral phenotyping research.
Health care organization in Maine, serving communities across Maine and New Hampshire. Includes MaineHealth Institute for Research to support research at MaineHealth ranging from basic laboratory-based research through translational research, which works to apply basic discoveries to medical problems, to clinical research, which studies the direct application of new drugs, devices and treatment protocols to patients, to health services research which seeks to use research methods to help improve and evaluate health care delivery programs and new technologies.
Core offers a variety of preclinical imaging services. Small animal imaging core facility with high-resolution ultrasound (FujiFilm, Vevo F2, Visual Sonics) and micro CT (SkyScan 1276 (Bruker), micro CT with in vivo and ex vivo capabilities, Caliper IVIS Lumina LT (Revvity). Offers complete services for non-destructive, longitudinal optical imaging with bioluminescence and fluorescence capabilities of mice.
Core facility provides microscopy services including confocals, epifluorescence, 2-photon, lightsheet, superresolution, slide scanning and image analysis.
Core offers integrated biobanking, histology, digital pathology and other advanced tissue analysis services to support basic, translational and clinical research.
Software Python library to manage metabolic networks. Python library for hAndling metaData of METabolism.
Software tool for informed prediction and analysis of bacterial metabolic pathways and genome-scale network. Used to predict metabolic pathways and automatically reconstruct microbial metabolic models.
Software Phyton tool for genome-scale metabolic model reconstruction. Used for reconstruction of species and community level metabolic models.
Ultrasonic shearing instrument used to fragment chromatin, shear DNA and RNA, and lyse cells.
Core provides services, shared research equipment and technical support for flow cytometric analysis and high-speed cell sorting. Used to study cells using multi-laser instruments, separate specific cell populations, and design experiments.
Core offers nanofabrication services and tools for lithography, deposition, etch, and characterization. Used for researching, building, and measuring materials on a microscopic scale. Provides cleanroom space and advanced tools for academic and industry projects.
Core is fully equipped histological laboratory providing embedding station, automatic coverslipper, immunohistological platforms for standardized and automated immunohistochemistry, slide scanners, laser microdissection and light-sheet fluorescence microscope.
Software R package for constructing cell-type-specific co-expression networks. Provides functions for data preprocessing, generation of cell-type-specific features, identification of cell-type-specific modules, and GO enrichment analysis for specific cell types. Used to dissect the explore gene co-expression networks within distinct cell types.
Software Python package for analysis of single-cell spatial transcriptomics data. Used to read, visualize, and analyze the spatially resolved gene expression within one dataset but also across different datasets. Provides general structure for organizing multiple datasets and its corresponding metadata.
Software R package for spatially resolved transcriptomics analysis and visualization.
Software R package to calculate spatial distance between spots from spatial transcriptome data. Calculates nearest neighbor distances between specified cell types and provides comprehensive visualization tools to explore spatial patterns. Used for analyzing spatial relationships between cell types in spatial transcriptomics data, studying cell-cell interactions, immune microenvironment characterization, and spatial organization of tissues.
Software R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
Software tool for signature analysis and visualization for single-cell RNA-seq data by selecting for gene signatures which describe coordinated variation between cells.
Software R package for learning cell types and cell type-specific differential expression in spatial transcriptomics data. Used for cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics.
Software R package to convert Seurat objects to 10x Genomics Loupe files. Works with Seurat objects to create a .cloupe file. The .cloupe file can then be imported into Loupe Browser v7.0 for data visualization and further exploration.