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Found 220 result(s)
OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. OMIM is authored and edited at the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, under the direction of Dr. Ada Hamosh. Its official home is omim.org.
The Reference Sequence (RefSeq) collection provides a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins. RefSeq sequences form a foundation for medical, functional, and diversity studies. They provide a stable reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis (especially RefSeqGene records), expression studies, and comparative analyses.
Project Data Sphere, LLC, operates a free digital library-laboratory where the research community can broadly share, integrate and analyze historical, de-identified, patient-level data from academic and industry cancer Phase II-III clinical trials. These patient-level datasets are available through the Project Data Sphere platform to researchers affiliated with life science companies, hospitals and institutions, as well as independent researchers, at no cost and without requiring a research proposal.
This is an information resource for central nervous system imaging which integrates clinical information with magnetic resonance (MR), x-ray computed tomography (CT), and nuclear medicine images.
The United States Transuranium & Uranium Registries (USTUR) is a research program that studies actinide elements deposited within the human body – in persons with measurable, documented exposures to those elements.
The ClinicalCodes repository aims to hold code lists for all published electronic medical record studies, irrespective of code type (e.g. Read, ICD9-10, SNOMED) and database (CPRD, QResearch, THIN etc.). Once deposited, code lists will be freely available, with no login needed to download codes.
The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan and the C.U. Ariëns Kappers brain collection from Amsterdam Netherlands.Introducing online atlases of the brains of humans, sheep, dolphins, and other animals. A world resource for illustrations of whole brains and stained sections from a great variety of mammals
The United Nations Data (UND) site provides access to 32 databases and over 60million records. UN Statistical Databases include datasets on Energy Statistics, International Finances, The State of the World’s Children, and World Contraceptive Use; among many other global social, environmental and economic subjects.
XNAT CENTRAL is a publicly accessible datasharing portal at Washinton University Medical School using XNAT software. XNAT provides neuroimaging data through a web interface and a customizable open source platform. XNAT facilitates data uploads and downloads for data sharing, processing and organization. NOTICE: Central XNAT will be decommissioned on October 15, 2023. New project creation is no longer permitted.
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Phaidra Vetmeduni Vienna is the Universitys platform for long-term archiving of digital collections such as Thesis and Research Data. In two years we would enlarge the collection for archive materials such as fotos, books an dias f.e.
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Silkworm Pathogen Database (SilkPathDB) is a comprehensive resource for studying on pathogens of silkworm, including microsporidia, fungi, bacteria and virus. SilkPathDB provides access to not only genomic data including functional annotation of genes and gene products, but also extensive biological information for gene expression data and corresponding researches. SilkPathDB will be help with researches on pathogens of silkworm as well as other Lepidoptera insects.
This site is dedicated to making high value health data more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all. In a recent article, Todd Park, United States Chief Technology Officer, captured the essence of what the Health Data Initiative is all about and why our efforts here are so important.
A premier source for United States cancer statistics, SEER gathers information related to incidence, prevalence, and survival from specific geographic areas that represent 28 percent of the population, as well as compiles related reports and reports on the national cancer mortality rates. Their aim is to provide information related to cancer statistics and decrease the burden of cancer in the national population. SEER has been collecting data from cancer cases since 1973.
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The Canine Inherited Disorders Database (CIDD) is a joint initiative of the Sir James Dunn Animal Welfare Centre at the Atlantic Veterinary College, University of Prince Edward Island, and the Canadian Veterinary Medical Association. The goals of the database are to reduce the incidence of inherited disorders in dogs by providing information to owners and breeders, and to facilitate the best management possible of these conditions by providing current information to veterinarians.
LifeMap Discovery® is a compendium of embryonic development for stem cell research and regenerative medicine, constructed by integrating extensive molecular, cellular, anatomical and medical data curated from scientific literature and high-throughput data sources.
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The NCIS is a national database of information on every death reported to a coroner in Australia and New Zealand. It contains demographic information on the deceased, contextual information on the nature of the fatality and medico-legal documents including the coroner's finding, autopsy and toxicology reports and the police notification of death report.
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<<<!!!<<< As detected 2017-11-24 TBNet India is no longer accessible >>>!!!>>> TBNet India is an initiative by the Department of Biotechnology, Govt of India with special focus on Indian contributions on research and various issues related to tuberculosis. Around 13 institutions across India are apart of this initiative. TB Net India focuses to gather clinical, epidemiological and molecular data and make it available to the biomedical community.
The Yeast Resource Center Public Image Repository is a database of fluorescent microscopy images and their associated metadata/experimental parameters. The images depict the localization, co-localization and FRET (fluorescence energy transfer) of proteins in cells, particularly in the budding yeast Saccharomyces cerevisiae as a model organism. Users may download the entire datasets to improve their research.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.
MalaCards is an integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. MalaCards mines and merges varied web data sources to generate a computerized web card for each human disease. Each MalaCard contains disease specific prioritized annotative information, as well as links between associated diseases, leveraging the GeneCards relational database, search engine, and GeneDecks set-distillation tool. As proofs of concept of the search/distill/infer pipeline we find expected elucidations, as well as potentially novel ones.
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The RAMEDIS system is a platform independent, web-based information system for rare metabolic diseases based on filed case reports. It was developed in close cooperation with clinical partners to allow them to collect information on rare metabolic diseases with extensive details, e.g. about occurring symptoms, laboratory findings, therapy and molecular data.