The Genetic Association Database is an archive of human genetic association studies of complex diseases and disorders. The goal of this database is to allow the user to rapidly identify medically relevant polymorphism from the large volume of polymorphism and mutational data, in the context of standardized nomenclature. ... [Information of the supplier]
T1DBase is a public website and database that supports the type 1 diabetes (T1D) research community. It is being created by a joint effort between the Institute for Systems Biology, Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory and the Juvenile Diabetes Research Foundation International. T1DBase collects information from public sources and from collaborating laboatories, integrates this information, and presents it in a form that is useful for T1D researchers. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; microarray data; functional annotation of genes active in beta cells; and "global"datasets, generally from the literature, that are useful for systems biology studies. ... [Information of the supplier, modified]
Grid computing is regarded as one of the critical success factors in biomedical Research. The joint project MediGRID unifies well known research institutes in the area of medicine, biomedical informatics and life sciences into a consortium. Numerous associated partners from industry, healthcare and research facilities ensure a broad representation of these communities. The main goal of MediGRID is the Development of a Grid middleware integration platform enabling eScience services for biomedical life science. Therefore the consortium allocated the tasks in different modules. The four methodological modules (middleware, ontology, resource fusion and eScience) plan to incrementally develop and provide a Grid infrastructure while taking into account the need of the biomedical users. The user communities are represented in three research modules for biomedical informatics, image processing and clinical research. ... [Information of the supplier]
The HuGE Literature Finder is one component of the HuGE Navigator, an integrated, searchable knowledge base of genetic associations and related information in human genome epidemiology. In 2001, HuGENet launched the HuGE Published Literature database (HuGE Pub Lit), a continually updated and accessible knowledge base on the World Wide Web that tracks the growing published literature of human genome epidemiologic studies. HuGE Pub Lit offers a starting point for assembling articles for meta-analysis, highlighting research gaps, suggesting applied research questions, and identifying potential collaborators. HuGE Pub Lit contains links to abstracts on PubMed that meet the inclusion and exclusion criteria (see below). HuGENet research staff is responsible for extracting relevant articles from PubMed and entering them into the HuGE Pub Lit database on a weekly basis. Since June 2007, a new automatic HuGE literature screening – GAPscreener was implemented to assist the weekly HuGE literature scanning from PubMed. The sensitivity of HuGE literature screening performance can reach 97.5%. An average of 500 new articles per week is retrieved by GAPscreener. A researcher who is familiar with the eligibility criteria for human genome epidemiology then reviews each title and abstract (or in a few cases, the full text). This researcher decides whether the study will be included in the database and, if it will, assigns indexing for each article. HuGE Literature Finder is a newly-designed HuGE Pub Lit database that utilizes the Unified Medical Language System (UMLS) as an indexing mechanism. ... [Information of the supplier]
In September, 2001, the National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK) convened a working group of its National Advisory Council to develop a strategic plan for Stem Cells and Developmental Biology. The working group made several recommendations, with the overall goals of providing new strategies for repairing or replacing damaged organs and generating new insights into pathologic processes underlying developmental defects and disease. There is the need for a more thorough understanding of organogenesis so that tissue degeneration and congenital malformations might be prevented and treated. The goal of GUDMAP is a fundamental description of the developing kidney and GU tract. The panel recommended that the following three objectives be combined to form the GUDMAP. a) High throughput in situ hybridization analyses to define the expression pattern of genes expressed in the developing kidney and GU tract, b) High resolution gene expression analyses to define gene expression during developmental time, the overlap in gene expression patterns, and the correlation between boundaries of gene expression and boundaries of anatomic or functional domains and c) Development of a database to house and annotate the above data and to provide rapid access of this data to the entire research community. Microarray analyses and the generation of murine strains with genetic markers are also goals of GUDMAP which serve to bolster the overall aim of defining molecular and cellular anatomy through developmental time. ... [Information of the supplier, modified]
Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps. It is free to browse and download data in Dr.VIS. ... [Information of the supplier]
