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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://precisionhealth.umich.edu/our-research/michigangenomics/
Collaborative research effort among physicians, researchers, and patients at the University of Michigan with goal of combining patient electronic health record data with corresponding genetic data to gain novel biomedical insights. Biobank linking genotypes and electronic clinical records in Michigan Medicine patients. MGI participants agree to provide study team with access to EHR data for clinical information and biospecimen including blood or saliva.
Proper citation: Michigan Genomics Initiative (RRID:SCR_023556) Copy
http://metpetdb.rpi.edu/metpetweb/
Database / data repository for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists in collaboration with computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative.
Proper citation: MetPetDB (RRID:SCR_002208) Copy
http://web.bioinformatics.ic.ac.uk/eqtlexplorer/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. An eQTL visualization tool that allows users to mine and understand data from a repository of genetical genomics experiments (entry from Genetic Analysis Software)
Proper citation: EQTL EXPLORER (RRID:SCR_001123) Copy
https://uhnbiospecimenservices.com/
Core provide services for the enhancement and progression of novel and innovative research and discovery. Provides human biospecimen samples such as: fresh frozen and formalin fixed paraffin embedded (FFPE) tissue, compartmentalized blood components such as serum, plasma, and whole blood peripheral blood mononuclear cells (PBMCs) and other biofluids, including saliva and urine; Tissue microarray (TMA) construction and quantitative image analysis of TMA sections, Laser capture microdissection (LCM), digital slide scanning, quantitative image, and pathological/clinical analysis for various tumour sites and DNA/RNA extraction; support and guidance to researchers and biobanks on accessing, collecting, and using human biospecimens and associated data for health research.
Proper citation: University Health Network Biospecimen Services Core Facility (RRID:SCR_027519) Copy
A National NIH Center for Biomedical Computing that focuses on physics-based simulation of biological structures and provides open access to high quality simulation tools, accurate models and the people behind them. It serves as a repository for models that are published (as well as the associated code) to create a living archive of simulation scholarship. Simtk.org is organized into projects. A project represents a research endeavor, a software package or a collection of documents and publications. Includes sharing of image files, media, references to publications and manuscripts, as well as executables and applications for download and source code. Simulation tools are free to download and space is available for developers to manage, share and disseminate code.
Proper citation: Simtk.org (RRID:SCR_002680) Copy
http://fcon_1000.projects.nitrc.org/indi/enhanced/
Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping.
Proper citation: NKI-RS Enhanced Sample (RRID:SCR_010461) Copy
Comprehensive and manually annotated resource for mycobacterial genomes. Genomic and proteomic data repository for pathogenic mycobacteria. Provides manually curated annotations and tools to facilitate genomic and proteomic study of these organisms. Integrates genome details, protein information, drug and transcriptome data, mutant and operon annotation.
Proper citation: Mycobrowser (RRID:SCR_018242) Copy
Browser serves as repository of variants across exomes and targeted panel sequencing of individuals with polycystic kidney disease. Used to aggregate and harmonize exome and genome sequencing data from sequencing projects of PKD and to make summary data available to the wider scientific community.
Proper citation: PKD Genome Browser (RRID:SCR_023925) Copy
https://www.ncbi.nlm.nih.gov/assembly
Database providing information on structure of assembled genomes, assembly names and other meta-data, statistical reports, and links to genomic sequence data. The Archive links the raw sequence information found in the Trace Archive with assembly information found in publicly available sequence repositories (GenBank/EMBL/DDBJ).
Proper citation: NCBI Assembly Archive Viewer (RRID:SCR_012917) Copy
https://github.com/sridevi96/NeuroDevTime
Software code for age prediction in fetal brain and organoid single cell data. This repository contains cell type agnostic models to predict the developmental age of brain cell types from single cell RNAseq data. Code contains 4 jupyter notebooks, which apply pretrained models to predict neurodevelopmental age of cell types in new human fetal brain and organoid datasets.
Proper citation: NeuroDevTime (RRID:SCR_026651) Copy
Open source software platform for studying fruit fly brain function, and for investigating fruit fly brain disease models that are highly relevant to mechanisms of human neurological and psychiatric disorders. Collaborative ecosystem for accelerating discovery of functional logic of fruit fly brain. Includes FlyBrainLab and BrainMapsViz. Stores and integrates fruit fly brain research data. Repository of tools and methods to build, emulate and compare fruit fly brain models in health and disease. Open framework for fruit fly brain data processing and model execution.
Proper citation: Fruit Fly Brain Observatory (RRID:SCR_019244) Copy
https://www.ngdc.noaa.gov/mgg/curator/
A repository of geologic material from sea floor and lakebed cores, grabs, and dredges archived by participating institutions.
Proper citation: Index to Marine and Lacustrine Geologic Samples (RRID:SCR_009430) Copy
Portal as data resource, map repository, and GIS service provider for federally-funded scientists conducting research in the Arctic and Antarctic. The PGC holds an extensive collection of satellite imagery and aerial photography at varying resolutions.
Proper citation: Polar Geospatial Center (RRID:SCR_000402) Copy
http://www.acceleratedcure.org/index.php
A national nonprofit organization dedicated to accelerating the cure of MS by facilitating research that determines the causes and mechanisms of MS. Our main effort is the creation of a large-scale, multidisciplinary MS Repository of blood samples and data from people with MS and matched controls. We make these samples available to researchers investigating the causes of MS and other demyelinating diseases. In exchange for access to the repository, researchers agree to return the data they generate from the samples so that results from disparate experiments can be combined. We are also developing a Cure Map to establish and document what is known and what is not known about the causes of MS. From the Cure Map, Accelerated Cure Project will facilitate the research most likely to reveal the causes of MS in the shortest time through use of our MS Repository.
Proper citation: Accelerated Cure Project for Multiple Sclerosis (RRID:SCR_004743) Copy
http://senselab.med.yale.edu/cellpropdb
A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid
Proper citation: Cell Properties Database (RRID:SCR_007285) Copy
Platform to support research and enable collaboration. Used to discover projects, data, materials, and collaborators helpful to your own research.
Proper citation: Open Science Framework (RRID:SCR_003238) Copy
http://neuroinformatics.kiv.zcu.cz/articles/read/eegerp-portal-eegbase-_2014-12-19
EEG base is a system for storage and management of EEG/ERP resources - data, metadata, tools and materials related to EEG/ERP experiments. EEG base advances electrophysiology research by enabling access to public data, tools and results of research groups. The system essentially offers the following set of features (the set of accessible features depends on a specific user role): * User authentication * Storage, update, and download of EEG/ERP data and metadata * Storage, update and download of EEG/ERP experimental design (experimental scenarios) * Storage, update and download of data related to testing subjects * Fulltext search * Sharing of knowledge and working in groups The system is based on tree layer architecture (MVC pattern) consisting of persistent layer (relational database), application layer (object oriented code, object relational mapping from persistence layer) and presentation layer (JSP). The persistence layer uses Hibernate framework; Oracle 11g database server is used to ensure the processing of large data files. Application and presentation layers are designed and implemented using Spring technology. This framework supports MVC architecture, Dependency injection and Aspect Oriented Programming. There were no significant difficulties with integration of both frameworks, Hibernate and Spring MVC. Spring Security framework is used to ensure management of authentication and user roles. Since the system is thought to be finally open to the whole EEG/ERP community it is necessary to protect EEG/ERP data and metadata, and especially personal data of testing subjects stored in the database from an unauthorized access. Then a restricted user policy is applied and user roles are introduced. The complete overview of the system features and user roles (use case diagram) is available in (Pergler 2009). Concerning the architectural layers there is a question which layer is more feasible for mapping of its structure into ontology. Currently we have studied two possibilities: * Mapping from the persistence layer (relational database) * Mapping from the application layer (object oriented code) The mapping from the application layer to an ontology includes the precedent object relational mapping provided by Hibernate framework.
Proper citation: EEGbase (RRID:SCR_001452) Copy
https://www.rarediseasesnetwork.org/cms/create/researchers/biorepository
Biorepository of samples collected from patients with ALS, ALS-frontotemporal dementia (ALS-FTD), primary lateral sclerosis (PLS), progressive muscular atrophy (PMA), hereditary spastic paraplegia (HSP) and multisystem proteinopathy (MSP). Used by Consortium members and the scientific community to advance therapeutic development through study of the relationship between clinical phenotype and underlying genotype, and also through the discovery and development of biomarkers.
Proper citation: CReATE (RRID:SCR_016436) Copy
Project to define a roadmap for diffusion MR imaging of traumatic brain imaging and design an infrastructure to implement the recommendations and tested to ensure feasibility, disseminate results, and facilitate deployment and adoption. The research roadmap and infrastructure development will concentrate on three areas: 1) standardization of diffusion imaging methodology, 2) trial design and patient selection for acute or chronic therapy, and 3) development of multi-center collaborations and repositories for evaluating whether advanced diffusion imaging does improve decision making and TBI patients' outcomes. # DTI MRI reproducability: One of the major areas of investigation in this project is to study the reproducibility of data acquisition and image analysis algorithms. Understanding reproducibility defines a base level of deviation from which scans can be analyzed with statistical significance. As part of this work they are also developing site qualification criteria with the intention of setting limits on the MR system minimal performance for acceptable use in TBI evaluation. # Infrastructure for image storage, analysis and visualization: There is a continuing need to refine and extend software methods for diffusion MRI data analysis and visualization. Not only to translate tools into clinical practice, but also to encourage continuation of the innovation and development of new tools and techniques. To deliver upon these goals they are designing and implementing a storage and computational infrastructure to provide access to shared datasets and intuitive interfaces for analysis and visualization through a variety of tools. A strong emphasis has been placed on providing secure data sharing and the ability to add community defined common data elements. The infrastructure is built upon a Software-as-a-Service model, in which tools are hosted and managed remotely allowing users access through well-defined interfaces. The final service will also facilitate composition or orchestration of workflows composed of different analysis and processing tasks (for example using LONI or XNAT pipelines) with the ultimate goal of providing automated no-click evaluations of diffusion MRI data. # Tool development: The final aspect of this project aims to facilitate and encourage tool development and contribution. By providing access to open datasets, they will create a platform on which tool developers can compare and improve and their tools. When tools are sufficiently mature they can be exposed in the infrastructure mentioned above and used by researchers and other developers.
Proper citation: Diffusion MRI of Traumatic Brain Injury (RRID:SCR_001637) Copy
http://publications.aston.ac.uk/
Aston Publications Explorer is Aston University's repository for their open access publications. You may also be interested in Aston Data Explorer for Aston's research data and Aston Research Explorer for broader information about Aston's research work including research staff, awards and activities projects and research groups.
Proper citation: Aston Publications Explorer (RRID:SCR_023129) Copy
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