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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Architecture of a Gene Expression Data Warehouse

Architecture of a Gene Expression Data Warehouse
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Author(s): Aryya Gangopadhyay (UMBC, USA)
Copyright: 2003
Pages: 1
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch083
ISBN13: 9781616921248
EISBN13: 9781466665330


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.

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