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http://cgap.nci.nih.gov/Chromosomes/Mitelman

The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer. The data in the Mitelman Database is manually culled from the literature and subsequently organized into three distinct sub-databases, as follows: -The sub-database of cases contains the data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases. It can be searched using either the Cases Quick Searcher or the Cases Full Searcher. -The sub-database of molecular biology and clinical associations contains no data from individual patient cases. Instead, the data is pulled from studies with distinct information about: -Molecular biology associations that relate chromosomal aberrations and tumor histologies to genomic sequence data, typically genes rearranged as a consequence of structural chromosome changes. -Clinical associations that relate chromosomal aberrations and/or gene rearrangements and tumor histologies to clinical variables, such as prognosis, tumor grade, and patient characteristics. It can be searched using the Molecular Biology and Clinical (MBC) Associations Searcher -The reference sub-database contains all the references culled from the literature i.e., the sum of the references from the cases and the molecular biology and clinical associations. It can be searched using the Reference Searcher. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: -The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. -The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. -The Molecular Biology Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to gene rearrangements as a consequence of cytogenetic aberrations. -The Clinical Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to clinical associations of cytogenetic aberrations and/or gene rearrangements. -The Recurrent Chromosome Aberrations Searcher provides a way to search for structural and numerical abnormalities that are recurrent, i.e., present in two or more cases with the same morphology and topography. -The Reference Searcher queries only the references themselves, i.e., the references from the individual cases and the molecular biology and clinical associations. Sponsors: This database is sponsored by the University of Lund, Sweden and have support from the Swedish Cancer Society and the Swedish Children''s Cancer Foundation

Proper citation: Mitelman Database of Chromosome Aberrations in Cancer (RRID:SCR_012877) Copy   

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https://biolincc.nhlbi.nih.gov/home/

Repository that serves to coordinate searches across data and biospecimen collections from participants in numerous clinical trials and epidemiologic studies and to provide an electronic means for requests for additional information and the submission of requests for collections. The collections, comprising data from more than 80 trials or studies and millions of biospecimens, are available to qualified investigators under specific terms and conditions consistent with the informed consents provided by the individual study participants. Some datasets are presented with studies and supporting materials to facilitate their use in reuse and teaching. Datasets support basic research, clinical studies, observational studies, and demonstrations. Researchers wishing to apply to submit biospecimen collections to the NHLBI Biorepository for sharing with qualified investigators may also use this website to initiate that process.

Proper citation: Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) (RRID:SCR_013142) Copy   

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https://ckb.jax.org/

Semi-automated and manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and oncology clinical trials. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials.

Proper citation: Jackson Laboratory Clinical Knowledgebase (RRID:SCR_014965) Copy   

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http://diabetes.wisc.edu/index.php

Interactive database of gene expression and diabetes related clinical phenotypes. Allows to search gene expression in tissues as a function of obesity, strain, and age, in a mouse.

Proper citation: Attie Lab Diabetes Database (RRID:SCR_016639) Copy   

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https://www.cdc.gov/nchs/ndi/index.htm

Database of death record information on file in state vital statistics offices. Working with these state offices, the National Center for Health Statistics (NCHS) established the NDI as a resource to aid epidemiologists and other health and medical investigators with their mortality ascertainment activities.

Proper citation: National Death Index (RRID:SCR_016369) Copy   

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http://c-path.org/programs/cfast/

Consortium establishing data standards, tools and methods for conducting research in therapeutic areas important to public health including Alzheimer's disease, Parkinson's disease, multiple sclerosis, polycystic kidney disease, and tuberculosis.CDISC and C-Path have agreed to discontinue using separate CFAST brand, but they both remain committed to this mission and continue to partner to develop and publish therapeutic area data standards.

Proper citation: Coalition For Accelerating Standards and Therapies (RRID:SCR_000206) Copy   

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http://www.epitarget.eu/

A multidisciplinary project focused on the process leading to epilepsy, epileptogenesis, in adults. Their main hypothesis is that there are combinations of various causes, acting in parallel and/or in succession, that lead to epileptogenesis and development of seizures. Their central premise and vision is that a combinatorial approach is necessary to identify appropriate biomarkers and develop effective antiepileptogenic therapeutics. The project will focus on: * identifying novel biomarkers and their combinations for epileptogenesis after potentially epileptogenic brain insults in clinically relevant animal models, such as traumatic brain injury (TBI) and status epilepticus (SE); * exploring multiple basic mechanisms of epileptogenesis and their mutual interactions; * and translating these findings towards the clinic by validating biomarkers in human samples accessible to the consortium.

Proper citation: EpiTarget (RRID:SCR_003771) Copy   

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http://erin.sfn.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A database that lists, reviews, and rates resources for teaching neuroscience at the graduate and undergraduate level.

Proper citation: Educational Resources in Neuroscience (RRID:SCR_000169) Copy   

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http://hmut-tr.sourceforge.net/

The Molecular Biology and Genetics Department at Bogazii University is one of the major reference laboratories in Turkey, specialized in molecular analysis of common genetic disorders. Over the years, the rapid accumulation of mutation data in connection with detailed clinical and laboratory information, has led to the idea of establishing a national database for storing, analysing and presenting it in a more efficient and systematic way. For this purpose, an interdisciplinary project was initiated in 1995. b-Thalassemia and Hemophilia-B Databases were selected as preliminary models, for they offer alternative design and implementation strategies due to different clinical and genetic characteristics. b-Thalassemia is an autosomal recessive disorder, characterized by microcytosis and hemolytic anemia, which is the result of reduced b-Globin chain synthesis. In Turkey, the disease is represented with a gene frequency of 2 and reflected by a wide spectrum of clinical manifestations with the presence of more than 40 different mutation. Currently, there is no database available for thalassemia mutations. Hemophilia B is an X-linked recessive disorder caused by heterogenous mutations, resulting in a marked deficit of coagulation factor IX (FIX); an essential component of the clotting mechanism. A hemophilia B database was first published in 1990 as a list of point mutations and short additions and deletions with 115 mutations comprising 216 entries Gene-, System-, or Disease- Specific Databases

Proper citation: Turkish Human Mutation Database (RRID:SCR_008246) Copy   

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http://bioinfo-out.curie.fr/ittaca/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/12/25. ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma. ITTACA is developed by the Institut Curie Bioinformatics group and the Molecular Oncology group of UMR144 CNRS/Institut Curie. A web interface allows users to carry out different class comparison analyses, including comparison of expression distribution profiles, tests for differential expression, patient survival analyses, and users can define their own patient groups according to clinical data or gene expression levels. The different functionalities implemented in ITTACA are: - To test if one or more gene, of your choice, is differentially expressed between two groups of samples exhibiting distinct phenotypes (Student and Wilcoxon tests). - The detection of genes differentially expressed (Significance Analysis of Microarrays) between two groups of samples. - The creation of histograms which represent the expression level according to a clinical parameter for each sample. - The computation of Kaplan Meier survival curves for each group. ITTACA has been developed to be a useful tool for comparing personal results to the existing results in the field of transcriptome studies with microarrays.

Proper citation: Integrated Tumor Transcriptome Array and Clinical data Analysis (RRID:SCR_008182) Copy   

•   Source: SciCrunch Registry

http://www.bh4.org/BH4DatabasesBiodef.asp

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The BIODEF database have tabulated the most common clinical and laboratory data related to hyperphenylalaninaemia and tetrahydrobiopterin deficiencies. Additionally, there are data regarding treatment, outcome, and DNA analysis. Approximately 2% of newborns with hyperphenylalaninaemia are deficient in tetrahydrobiopterin. Selective screening must be performed in all instances where hyperphenylalaninaemia is detected by neonatal screening. In the last 20 years, 308 patients with tetrahydrobiopterin deficiencies have been recognized as a result of screening carried out, worldwide, in Departments of Paediatrics. Of these 308 patients, 181 suffered from 6-pyruvoyltetrahydropterin synthase deficiency, 92 from dihydropteridine reductase deficiency, 13 from pterin-4a-carbinolamine dehydratase deficiency, 12 from GTP cyclohydrolase I deficiency, and 10 are still unclassified. The BIODEF database have tabulated the most common clinical and laboratory data related to hyperphenylalaninaemia and tetrahydrobiopterin deficiencies. Additionally, there are data regarding treatment, outcome, and DNA analysis. Preliminary evaluation reveals that the degree of hyperphenylalaninaemia can vary from normal to 2500 mumol/L. Analyses of pterins in urine and measurement of dihydropteridine reductase activity from Guthrie cards are absolutely essential tests for accurate diagnosis. There is a regional (demographic) variation in the frequency of tetrahydrobiopterin deficiencies indicating the highest incidence in Saudi Arabia, probably a consequence of the high consanguinity rate.

Proper citation: International Database of Tetrahydrobiopterin Deficiencies (RRID:SCR_008171) Copy   

•   Source: SciCrunch Registry

http://www.gazel.inserm.fr/

A 20 year, 20,000 person, open longitudinal epidemiological study of a cohort town. GAZEL was not constructed to answer a specific question rather it was designed to help analyze a wide range of scientific problems and is accessible to the community of researchers specializing in epidemiology. Translation is not available for all pages. The GAZEL cohort, set up in 1989 by Inserm Unit 88 (subsequently Unit 687), in cooperation with several departments of ��lectricit�� de France-Gaz de France (EDF-GDF), was a public utility firm in France involved in production, transmission and distribution of energy. GAZEL initially included 20 624 volunteers working at EDF-GDF (15 010 men and 5614 women), aged from 35 to 50 years. In accordance with its purpose as a scientific research platform, the GAZEL cohort is permanently open to epidemiologic research teams. Today, more than 50 projects on very diversified themes have been set up in GAZEL by some 20 teams, French, belonging to different bodies, and foreign (Germany, Belgium, Canada, Great Britain, Sweden, Finland, and USA).

Proper citation: Gazel Database (RRID:SCR_008962) Copy   

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https://bbgre.brc.iop.kcl.ac.uk

A database and associated tools for investigating the genetic basis of neurodisability. It combines phenotype information from patients with neurodevelopmental and behavioral problems with clinical genetic data, and displays this information on the human genome map. Basic access to genetic information (deletions, duplications) relating to participants with neurodevelopmental disorders is provided without an account; access to the full dataset requires an account. The genetic information that is available to view comprises potentially pathogenic copy number variation across the genome, detected by array comparative genome hybridization (aCGH) using a customized 44K oligonucleotide array.

Proper citation: Brain and Body Genetic Resource Exchange (RRID:SCR_008959) Copy   

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http://www.elsevier.com/online-tools/embase

Comprehensive international bibliographic biomedical database that enables users to track and retrieve precise information on drugs and diseases from pre-clinical studies to searches on critical toxicological information. It contains bibliographic records with citations, abstracts and indexing derived from biomedical articles in peer reviewed journals, and is especially strong in its coverage of drug and pharmaceutical research. Embase can help with everything from clinical trials research to pharmacovigilance and is updated online daily and weekly. Its broad biomedical scope covers the following areas: * Drug therapy and research, including pharmaceutics, pharmacology and toxicology * Clinical and experimental (human) medicine * Basic biological science relevant to human medicine * Biotechnology and biomedical engineering, including medical devices * Health policy and management, including pharmacoeconomics * Public, occupational and environmental health, including pollution control * Veterinary science, dentistry, and nursing The Embase Application Programming Interface supports export, RSS feeds, and integration services, making it possible to share data with a wide range of systems.

Proper citation: EMBASE (RRID:SCR_001650) Copy   

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http://www.anzctr.org.au

Register of clinical trials being undertaken in Australia, New Zealand and elsewhere including trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. In 2007 the ANZCTR was one of the first three trial registries to be recognized by the World Health Organisation International Clinical Trials Registry Platform (WHO ICTRP) as a Primary Registry. WHO recognizes registries as Primary Registries if they fulfill certain criteria with respect to data content, quality and validity, accessibility, unique identification, technical capacity and administration. The ANZCTR contributes data to the WHO ICTRP, which was developed in 2007. Trials from all ICTRP Primary Registries can be searched at: www.who.int/trialsearch Studies should be registered prospectively, i.e. before the first patient is recruited. The registry records a trial's * objectives * main design features * sample size and recruitment status * treatments under investigation * outcomes being assessed * principal investigator * contact person Key points about the ANZCTR * Publicly owned, managed by a not-for-profit organization * All details of trials registered on the ANZCTR are made publicly available * Registration is voluntary, but if a registrant chooses to register a trial, certain fields are mandatory * Registration is free of charge * Responsibility for registration lies with the Sponsor

Proper citation: Australian New Zealand Clinical Trials Registry (RRID:SCR_002967) Copy   

•   Source: SciCrunch Registry

http://ncim.nci.nih.gov/ncimbrowser/

A wide-ranging biomedical terminology database that covers most terminologies used by NCI for clinical care, translational and basic research, and public information and administrative activities. NCIm features: * Maps 4,000,000 terms from more than 75 sources into 2,000,000 biomedical concepts that represent their meaning. * Displays preferred terms, synonyms, definitions, and other information from each source. * Links to NCI Thesaurus and other related information sources. * Contains 22,000,000 cross-links between content elements. * Updated frequently by a team of biomedical terminology and subject matter experts. NCIm contains most public domain terminologies from the National Library of Medicine's UMLS Metathesaurus, as well as many other biomedical terminologies created by or of interest to NCI and its partners. Some propriety terminologies are included, with permission, and have restrictions on their use. The current version of the NCI Metathesaurus, based on the UMLS build 2013AA, covers up to National Cancer Institute Thesaurus, 13.12d. A viewer for the UMLS changes document can be downloaded.

Proper citation: NCI Metathesaurus (RRID:SCR_003565) Copy   

•   Source: SciCrunch Registry

http://centreforstrokerecovery.ca/our-research/research-structure/stroke-patient-recovery-research-database-spred

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 28,2025. The Stroke Patient Recovery Research Database (SPReD) initiative creates the infrastructure needed for the collection of a wide range of data related to stroke risk factors and to stroke recovery. It also promotes the analysis and management of large brain and vessel images. A major goal is to create a comprehensive electronic database Stroke Patient Recovery Research Database or SPReD and populate it with patient data, including demographic, biomarker, genetic and proteomic data and imaging data. SPReD will enable us to combine descriptions of our stroke patients from multiple projects that are geographically distributed. We will do this in a uniform fashion in order to enhance our ability to document rates of recovery; to study the effects of vascular risk factors and inflammatory biomarkers; and to use these data to improve their physical and cognitive recovery through innovative intervention programs. This comprehensive database will provide an integrated repository of data with which our researchers will investigate and test original ideas, ultimately leading to knowledge that can be applied clinically to benefit stroke survivors.

Proper citation: Stroke Patient Recovery Research Database (SPReD) (RRID:SCR_005508) Copy   

•   Source: SciCrunch Registry

http://www.va.gov/visn4mirecc/

The mission of the VISN 4 MIRECC is the treatment and prevention of comorbid medical, mental health, and/or substance use disorders, with the aim of improving the health, quality of life, and outcomes of healthcare services for veterans with mental illness. This is accomplished through the integration of basic, clinical, and services research and educational and clinical programs. The objectives of this MIRECC are: * Develop new empirical knowledge that can be directly applied to improve the clinical care of veterans * Provide education to providers and trainees to enhance the delivery of high quality healthcare to veterans * Impact public health in terms of veterans' mental health and quality of life * Serve as a national resource in education, research, and treatment of patients with comorbidity, and as a replicable model of excellence in clinical and educational programs Examine causal factors in the development of comorbid conditions. Assess impact of comorbidity on: * the identification and classification of disorders * the development and implementation of treatments * access to treatment and the impact of treatments on outcomes Sponsors: This work is supported by the US Department of Veterans Affairs

Proper citation: VISN 4 MIRECC (RRID:SCR_001970) Copy   

•   Source: SciCrunch Registry

http://library.med.utah.edu/WebPath/webpath.html#MENU

This popular web resource includes over 1900 images along with text, tutorials, laboratory exercises, and examination items for self-assessment that demonstrate gross and microscopic pathologic findings associated with human disease conditions. Content includes pathology cases (surgical pathology, autopsy, cytopathology, forensic pathology, clinical pathology) at the University of Utah Health Sciences Center and affiliated hospitals and laboratories, and from contributors at other institutions worldwide. The content at this web site will assist a medical student in achievement of an important goal: passing step 1 of the USMLE examination required to become licensed as a physician. This site was conceived from the necessity to create useful multimedia teaching resources for medical students at the University of Utah for use in the pathology courses given in the second year of the curriculum.

Proper citation: WebPath - The Internet Pathology Laboratory for Medical Education (RRID:SCR_002033) Copy   

•   Source: SciCrunch Registry

https://datashare.nida.nih.gov

Website which allows data from completed clinical trials to be distributed to investigators and public. Researchers can download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve quality of drug abuse treatment. Incorporates data from Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.

Proper citation: NIDA Data Share (RRID:SCR_002002) Copy   

•   Source: SciCrunch Registry