We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software tool for reconstruction of cell spatial organization from single-cell RNA sequencing data based on ligand-receptor mediated self-assembly. Infers cellular spatial organization from scRNA-seq by modeling ligand–receptor-mediated self-assembly. It constructs 3D pseudo-space and quantifies cell–cell interactions for downstream visualization and hypothesis testing.
Software package for flexible spatial reconstruction of single-cell gene expression with optimal transport. Framework for de novo spatial reconstruction of single-cell gene expression. Assigns cells to tissue locations using probabilistic/optimal-transport models, with or without prior marker information, and returns spatial maps and assignment probabilities.
Software tool for assigning single cells from scRNA-seq to spatial transcriptomics coordinates via optimization framework. Supports high-resolution cell/spot alignment, capacity-constrained/domain-aware placement, and outputs per-cell/per-spot assignments and probabilities for downstream visualization and analysis. Used for optimal mapping of scRNA-seq data to spatial transcriptomics data.
Automated sliding microtome with additional capability for cutting large and hard specimens. Offers Choice of manual or mechanized operation, Coaxial specimen orientation and memory function for rapid re-orientation of pre-cut blocks, User-friendly control panel for easy operation, Optional retraction to protect specimen.
Three-dimensional (3D) common coordinate framework (CCF) and reference atlas that defines the spatial organization of the basal ganglia of the adult human brain.
Software repository contains files needed to build the standard and its supplementary documentation. Changes are automatically pushed and built. Information about the SWC file specification.
Software workflow is an open-source, cloud-optimized pipeline developed in collaboration with the BRAIN Initiative Cell Census Network (BICCN) and the BRAIN Initiative Cell Atlas Network (BICAN).
Compartmentalized schema for storing all required aspects of taxonomy. Fields in AIT schema are associated to broad category term which form piece of whole AIT file format.
Harmonized cross-species taxonomy of brain and spinal cord structures. Derived from the Allen Developing Human Brain Atlas (DHBA) ontology, the HOMBA is hierarchical, allowing users to aggregate structures from fine grain parcellations to broad regions. Terminology is harmonized across human, primate, and rodent structures with synonymous terms and includes transient developmental structures. HOMBA is designed for neuroanatomical applications including brain sampling and dissection, tissue block mapping, atlas building, cell-type and pathology localization, and linking cross-species and developmental datasets.
Core provides multiphoton characterization of Genetically-Encoded Probes for the BRAIN Initiative researchers and broader neuroscience community. Services include Measuring of 2-photon absorption spectra in absolute, cross section values; Measuring 3-photon absorption spectra and cross sections; Characterizing multiphoton photobleaching parameters, i.e. quantum yields, nonlinear absorption cross sections:Measuring one-photon absorption, emission, and excitation spectra;Measuring fluorescence quantum yields and lifetimes;Evolving brighter two-photon probes.
Software R package for statistical analyses and comparison of two circadian rhythms. Used to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms.
Medical hospital-based research institute in Montreal, Quebec, Canada.
Core provides expertise in confocal, live cell, and fluorescent microscopy. Provides services in experimental design, instrumentation, training, technical assistance, and scientific guidance from sample preparation to data analysis and publication.
Software tool for predicting long-term relapse of tumor spheroids from early post-treatment brightfield image data. We deploy a dataset consisting of time-series radiomics features for predicting the treatment response of tumor spheroids.
Facility enables complete qualitative and quantitative analysis of components within complex sample matrices. Provides services for separating mixtures, and supports critical research across numerous fields, including:Chemistry and Biochemistry, Biology and Medicine, Environmental Science and Toxicology, Food, Nutrition, and Pharmaceutical Development. Provides extraction, separation, detection, and quantification of organic and other complex mixtures from gas, solid, or liquid matrices.
Core provides and supports gold standard of high quality mouse, rat and zebrafish care and services. All procedures are conducted according to the National Institutes of Health Guide for the Care and Use of Laboratory Animals. The BRV is accredited at the highest standard of care through the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) International.
Core specializes in single-crystal structure determination of small molecules, inorganic materials, and minerals. The facility houses a Rigaku-Oxford Diffraction Synergy Single-Crystal X-ray Diffractometer equipped with both Cu and Mo sources, variable temperature capabilities (90 – 500 K) and the setup to perform high-pressure diamond-anvil studies.
Core provides high performance computing (HPC) resources with technical support services, infrastructure, software, and more. PACE maintains several computing clusters for Georgia Tech’s faculty, students, and staff.
Web-based application for comprehensive and modular scRNA-seq data analysis. to easily retrieve datasets from repositories housing most publicly available single-cell data. Future expansions of scStudio will integrate additional databases, such as the Human Cell Atlas.
Software R package as Tidy API for graph manipulation. Graph can be thought of as two tidy data frames describing node and edge data respectively. Used to manipulate these two virtual data frames using API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.