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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.
UCSD based bioinformatics lab composed of several projects in different biomedical disciplines. Established in 2008 as Neuroscience Information Framework and has since expanded to include broader field of biomedical research. Leader in developing and providing novel informatics infrastructure and tools for making data FAIR: Findable, Accessible, Interoperable and Reusable. FAIR Data informatics laboratory develops SciCrunch.org platform.
Proper citation: FAIR Data Informatics Laboratory (RRID:SCR_019235) Copy
Portal for providing data and tools to promote understanding and treatment of type 1 diabetes and its complications.Enables browsing, searching, and analysis of human genetic information linked to type 1 diabetes and related traits, while protecting integrity and confidentiality of underlying data.Represents effort to coordinate collection and deposition of genomic and epigenomic data related to type 1 diabetes and its complications.
Proper citation: Type 1 Diabetes Knowledge Portal (RRID:SCR_020936) Copy
Research center for hematology research. It provides services through four scientific core facilities: the Experimental Mouse Resources Core, the Optical Microscopy Services Core, the Angiogenesis Core, and the Flow Cytometry Core in addition to the Enrichment Program of the Center.
Proper citation: Indiana University Cooperative Center of Excellence in Hematology (RRID:SCR_015343) Copy
http://zfrhmaps.tch.harvard.edu/cemh/
Research center investigating molecular hematology through mouse and zebrafish models.
Proper citation: Boston Children's Hospital Center of Excellence in Molecular Hematology (RRID:SCR_015348) Copy
http://www.cumc.columbia.edu/derc/
Research center which provides research support for investigators pursuing research on diabetes and metabolic disorders.
Proper citation: Columbia Diabetes Research Center (RRID:SCR_015075) Copy
http://www.cfrc.pitt.edu/index.html
Research center whose goal is to understand and translate the basic mechanisms of cystic fibrosis. It uses the molecular and cell biology of CFTR, CFTR mutants, infection, and inflammation with the overall theme of translating preclinical science into clinical investigations.
Proper citation: Cystic Fibrosis Center University of Pittsburgh (RRID:SCR_015400) Copy
Center that includes over seventy investigators engaged in basic and translational research in diabetes and related metabolic disorders, and their complications. It contains four Research Cores that serve for innovative and translational research.
Proper citation: Indiana Diabetes Research Center (RRID:SCR_015080) Copy
Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP).
Proper citation: Human Islet Research Network (HIRN) (RRID:SCR_014393) Copy
https://cairibu.urology.wisc.edu/
Community of researchers studying benign urology diseases at U54 O’Brien Cooperative Research Centers, P20 Exploratory Centers, and K12 Career Development Programs funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), one of the institutes within the National Institutes of Health (NIH). CAIRIBU Centers and Programs are united around the overall objectives of improving our understanding of the mechanisms of urogenital diseases and developing clinical therapies for treating them by building collaborative and interactive research platforms that span the gamut from basic to translational to population research.
Proper citation: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology (RRID:SCR_022876) Copy
Consortium develops and shares investigative resources, reagents and expertise with broader research community to accelerate innovation and discovery in field of polycystic kidney disease.Provides assistance with protocols and trouble shooting. Provides funding opportunities.
Proper citation: Polycystic Kidney Disease Research Resource Consortium (RRID:SCR_022033) Copy
https://repository.niddk.nih.gov/network/110
Network that brings together clinical centers with expertise in caring for patients with chronic hepatitis B virus (HBV) infection to conduct research in order to better understand the physiological effects of the disease and develop effective treatment strategies with the currently available therapies. The web site is designed to inform the public of the research activities conducted by the Hepatitis B Research Network. It is also a portal to support communications for their researchers and participants in their studies. The Hepatitis B Research Network is currently seeking patients for a multi-center prospective study of the natural history of chronic hepatitis B. Within the next few months treatment trials for various patients with chronic hepatitis B will also begin enrolling patients. Details of the entry criteria for these studies can be obtained from the clinical centers outlined on the website's map.
Proper citation: Hepatitis B Research Network (RRID:SCR_001531) Copy
http://www.type2diabetesgenetics.org/
Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease.
Proper citation: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) Copy
http://www.uniprot.org/help/uniprotkb
Central repository for collection of functional information on proteins, with accurate and consistent annotation. In addition to capturing core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and experimental and computational data. The UniProt Knowledgebase consists of two sections, UniProtKB/Swiss-Prot and UniProtKB/TrEMBL. UniProtKB/Swiss-Prot (reviewed) is a high quality manually annotated and non-redundant protein sequence database which brings together experimental results, computed features, and scientific conclusions. UniProtKB/TrEMBL (unreviewed) contains protein sequences associated with computationally generated annotation and large-scale functional characterization that await full manual annotation. Users may browse by taxonomy, keyword, gene ontology, enzyme class or pathway.
Proper citation: UniProtKB (RRID:SCR_004426) Copy
http://www.emouseatlas.org/emage
A database of in situ gene expression data in the developing mouse embryo and an accompanying suite of tools to search and analyze the data. mRNA in situ hybridization, protein immunohistochemistry and transgenic reporter data is included. The data held is spatially annotated to a framework of 3D mouse embryo models produced by EMAP (e-Mouse Atlas Project). These spatial annotations allow users to query EMAGE by spatial pattern as well as by gene name, anatomy term or Gene Ontology (GO) term. The conceptual framework which houses the descriptions of the gene expression patterns in EMAGE is the EMAP Mouse Embryo Anatomy Atlas. This consists of a set of 3D virtual embryos at different stages of development, as well as an accompanying ontology of anatomical terms found at each stage. The raw data images can be conventional 2D photographs (of sections or wholemount specimens) or 3D images of wholemount specimens derived from Optical Projection Tomography (OPT) or confocal microscopy. Users may submit data using a Data submission tool or without.
Proper citation: EMAGE Gene Expression Database (RRID:SCR_005391) Copy
Web application for quantitative KInetic MOdels of biological SYStems. Platform includes public data repository of relevant published measurements, including metabolite concentrations, flux data, and enzyme measurements and tools in order to build ODE-based kinetic model. Designed to search, exchange and disseminate experimental data and associated kinetic models for systems modeling community.
Proper citation: Kinetic Models of Biological Systems (KiMoSys) (RRID:SCR_017423) Copy
https://icsd.products.fiz-karlsruhe.de/
Database for completely identified inorganic crystal structures. Collection of known inorganic crystal structures published since 1913, including their atomic coordinates. Includes only data which have passed thorough quality checks. Tool for materials research.
Proper citation: Inorganic Crystal Structure Database (ICSD) (RRID:SCR_017429) Copy
Repository to make datasets resulting from NIH funded research more accessible, citable, shareable, and discoverable. Data submitted will be reviewed to ensure there is no personally identifiable information in data and metadata prior to being published and in line with FAIR -Findable, Accessible, Interoperable, and Reusable principles. Data published on Figshare is assigned persistent, citable DOI (Digital Object Identifier) and is discoverable in Google, Google Scholar, Google Dataset Search, and more.Complited on July,2020. Researches can continue to share NIH funded data and other research product on figshare.com.
Proper citation: NIH Figshare Archive (RRID:SCR_017580) Copy
National research consortium designed to discover and perform preliminary characterization of range of molecular transducers that underlie effects of physical activity in humans. Used to study molecular changes that occur during and after exercise and to advance understanding of how physical activity improves and preserves health. Six year program into mechanisms of how physical activity improves health and prevents disease led by NIH Office of Strategic Coordination, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Aging, and National Institute of Biomedical Imaging and Bioengineering.
Proper citation: MoTrPAC Data Hub (RRID:SCR_017611) Copy
http://www.med.upenn.edu/idom/drc/cores/cellbio.html
Core that gives support including experimental design, islet isolation, and performance of and training in an expansive range of assays for physiological and morphometric assessment of pancreatic islet function and growth. It contributes to the basic and translational research activities of the Institute of Diabetes, Obesity and Metabolism (IDOM) at the Perelman School of Medicine of the University of Pennsylvania. Its services include perform individual islet and single cell fluorescence imaging, respirometry with islet batches using a Seahorse Extracellular Flux Analyzer, perifusion coupled with respirometry, and closed respirometry experiments for our investigators.
Proper citation: University of Pennsylvania School of Medicine Penn Diabetes Research Center Pancreatic Islet Cell Biology Core Facility (RRID:SCR_008265) Copy
http://www.med.upenn.edu/idom/drc/cores/transmouse.html
Mouse core which generates transgenic and gene-targeted mouse lines for diabetes research.
Proper citation: Penn Diabetes Research Center Transgenic and Chimeric Mouse Core Facility (RRID:SCR_010036) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
