The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Architecture of a Gene Expression Data Warehouse
Abstract
Biomedical researchers are rapidly generating vast amounts of genomic data that need to be modeled, organized, stored, and shared among researchers and practitioners. Genomic data is quite different than the data types ordinarily found in relational databases. The raw data consists of long strings of letters (A, T, G, C) representing the four nucleotide bases that constitute the gene. However, the raw data is not the only data type used in biomedical research. Technological advances such as microarrays have made it possible for researchers to study large numbers of gene expressions, which was previously been an intractable task. With this new technology comes the challenge of being able to store, retrieve, and analyze gene expression data stored in microarrays and linking them with other data such as clinical records and even other microarray data. This poses an interesting challenge for data management, warehousing, and mining. In this paper we develop an architecture for a data warehouse that would allow researchers to store microarray data using multidimensional cubes.
|
|