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  1. TmaDB (View Publication)
    Full Name of the Resource : Tissue Microarray Database
    Resource Category : Databases -> Microarray Data and Gene Expression Databases -> Microarray Data and other Gene Expression Databases

    Brief Description : To analyse TMA output a relational database (known as TmaDB) has been developed to collate all aspects of information relating to TMAs. These data include the TMA construction protocol, experimental protocol and results from the various immunocytological and histochemical staining experiments including the scanned images for each of the TMA cores. Furthermore the database contains pathological information associated with each of the specimens on the TMA slide, the location of the various TMAs and the individual specimen blocks (from which cores were taken) in the laboratory and their current status i.e. if they can be sectioned into further slides or if they are exhausted. TmaDB has been designed to incorporate and extend many of the published common data elements and the XML format for TMA experiments and is therefore compatible with the TMA data exchange specifications developed by the Association for Pathology Informatics community. Finally the design of the database is made flexible such that TMA experiments from several types of cancer can be stored in a single database, which incorporates the national minimum data set required for pathology reports supported by the Royal College of Pathologists (UK).

    Institute/s :
    Academic Unit of Pathology, University of Leeds, Leeds, LS1 3EX, UK
    Address of Institute/s :
    Academic Unit of Pathology, University of Leeds, Leeds, LS1 3EX, UK
    Country : United Kingdom

    Associated Institutes :

    • Academic Unit of Pathology, University of Leeds, Leeds, LS1 3EX, UK
    • School of Biochemistry & Microbiology, University of Leeds, Leeds, LS2 9JT, UK

    Associated Country : United Kingdom


    Authors/Contributors : A. Sharma-Oates; P. Quirke; D. R. Westhead
    Contact Email : a.sharmaoates@leeds.ac.uk
    Year : 2007
    Language : English

    Keywords : Automatic Data Processing; Data Interpretation, Statistical; Databases, Genetic; Decision Support Techniques; Gene Expression Profiling / methods; Information Storage and Retrieval / methods; Oligonucleotide Array Sequence Analysis / methods; Software