An approach to develop human gene disorder database for intelligent variance analysis of genes and its products

Molecular biology databases presently exist in different formats, different sizes and in different data structures. These create a new challenge which is to make these databases interoperable. Currently, hyperlink text is attempting to link these databases but it is unable to resolve semantic conflicts of the data. Data interpretation through image visualization and smart query processing using object keying will ease the biological query many times. Our aim is to investigate and to develop a conceptual object model for a genetic disorder disease database which will interact with other heterogeneous public domain molecular biology databases for more meaningful information. The research focuses on issues such as data input, access, format, storage, searching using image key, semantics and interoperabilities when building such a specialized gene disorder database data model