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Found 16 result(s)
Country
The Canadian Institute for Health Information (CIHI) provides comparable and actionable data and information that are used to accelerate improvements in health care, health system performance and population health across Canada.
Project Tycho is a repository for global health, particularly disease surveillance data. Project Tycho currently includes data for 92 notifiable disease conditions in the US, and up to three dengue-related conditions for 99 countries. Project Tycho has compiled data from reputable sources such as the US Centers for Disease Control, the World Health Organization, and National health agencies for countries around the world. Project Tycho datasets are highly standardized and have rich metadata to improve access, interoperability, and reuse of global health data for research and innovation.
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.
<<<!!!<<< As of June 30, 2017, HardinMD has been retired, although it is still findable through the WayBack Machine >>>!!!>>>
The Mexican Health and Aging Study (MHAS) started as a prospective panel study of health and aging in Mexico. MHAS is nationally representative of the 13 million Mexicans born prior to 1951. The survey has national and urban/rural representation. The baseline survey, in 2001, included a nationally representative sample of Mexicans aged 50 and over and their spouse/partners regardless of their age. A direct interview was sought with each individual and proxy interviews were obtained when poor health or temporary absence precluded a direct interview. The sample was distributed in all 32 states of the country in urban and rural areas. Households in the six states which account for 40% of all migrants to the U.S. were over-sampled. A sub-sample was selected to obtain anthropometric measures.
Country
The Preclinical Image DAtaset Repository (PIDAR) is a public repository of metadata information of preclinical image datasets from any imaging modality associated to peer-review publications. The metadata information are organized in a proper schema to create a standard metadata model for preclinical imaging.
Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We have expanded to organoids and cell lines and are now called CancerModels.Org
Country
BCCM/IHEM is a fungal culture collection specialized in medical and veterinary mycology. About 16.000 strains of yeasts and moulds are available from all over the world: pathogens, allergenic species, strains producing mycotoxins, reference strains, teaching material, etc. It also comprises the Raymond Vanbreuseghem collection and the collection of Janssen Pharmaceutica. The BCCM/IHEM collection makes strains or their genomic DNA publicly available for medical, pharmaceutical and biological research, as well as for method validation, testing or educational purposes. Deposits of strains for public access are free of charge for the depositor. The collection also accept safe and patent deposits, and offers a range of services including trainings in mycology and identifications of strains. Moreover, BCCM/IHEM has expertise in fungal taxonomy, in MALDI-TOF MS identification of moulds and yeasts as well as in genomics (whole genome sequencing of fungal strains, phylogenomics, phylogenetics).
CalSurv is a comprehensive information on West Nile virus, plague, malaria, Lyme disease, trench fever and other vectorborne diseases in California — where they are, where they’ve been, where they may be headed and what new diseases may be emerging.The CalSurv Web site serves as a portal or a single interface to all surveillance-related Web sites in California.
AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals’ transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated.
ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
The Rat Genome Database is a collaborative effort between leading research institutions involved in rat genetic and genomic research. Its goal, as stated in RFA: HL-99-013 is the establishment of a Rat Genome Database, to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community. A secondary, but critical goal is to provide curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data.
As with most biomedical databases, the first step is to identify relevant data from the research community. The Monarch Initiative is focused primarily on phenotype-related resources. We bring in data associated with those phenotypes so that our users can begin to make connections among other biological entities of interest. We import data from a variety of data sources. With many resources integrated into a single database, we can join across the various data sources to produce integrated views. We have started with the big players including ClinVar and OMIM, but are equally interested in boutique databases. You can learn more about the sources of data that populate our system from our data sources page https://monarchinitiative.org/about/sources.
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the 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 clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt databases are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), and the UniProt Archive (UniParc). The UniProt Metagenomic and Environmental Sequences (UniMES) database is a repository specifically developed for metagenomic and environmental data. The UniProt Knowledgebase,is an expertly and richly curated protein database, consisting of two sections called UniProtKB/Swiss-Prot and UniProtKB/TrEMBL.