DocumentCode :
1131848
Title :
Roles and requirements for a research microarray database
Author :
Goncalves, Jason ; Marks, Wojciech L.
Author_Institution :
Iobion Informatics LLC, Toronto, Ont., Canada
Volume :
21
Issue :
6
fYear :
2002
Firstpage :
154
Lastpage :
157
Abstract :
DNA microarrays, which allow for the parallel analysis of thousands of genes, have become the most popular functional genomic tool in use today. Substantial data sets are currently being produced by researchers in both the public and the private sector. Proceeding at a significantly slower rate than its complement, microarray data generation, the analysis of microarray data is a true bottleneck for research. The situation will only become more serious in the future, as DNA microarray technology becomes less expensive and projects increase both in number and in size. Clearly, in order to realize the full promise of microarray technology, bioinformatics solutions must evolve. The research microarray database is a crucial step in the evolution of bioinformatics software for modern genomic-scale science. The role of the research microarray database is to support microarray data analysis in the context of a collaborative research environment. At the current stage of microarray research, there are four principal requirements a microarray research database should satisfy. It must be able to store microarray data, store the annotation of the data, store a detailed record of the tasks performed while working with the data, and support research collaboration. Each of the four requirements presents challenges of its own. In conclusion, relational database management systems (DBMSs) have been under active, intensive development for over 20 years. In these two decades, the challenges and issues discussed here have been addressed by the designers of relational database engines. State-of-the-art security features are built into every major DMBS, allowing users to share data safely in a multi-user environment, such as the Internet. Advanced concurrency control ensures data integrity and consistency. A DBMS is the ideal solution for the Internet-connected world of research and data analysis.
Keywords :
DNA; biology computing; concurrency control; genetics; groupware; relational databases; DBMS; DNA microarray technology; DNA microarrays; Internet; advanced concurrency control; bioinformatics software; bioinformatics solutions; collaborative research environment; data annotation; data integrity; functional genomic tool; microarray data; modern genomic-scale science; multi-user environment; parallel analysis; private sector; public sector; relational database engines; relational database management systems; research microarray database; researchers; state-of-the-art security features; substantial data sets; task records; Bioinformatics; Collaborative work; DNA; Data analysis; Data security; Digital multimedia broadcasting; Genomics; Internet; Relational databases; Search engines; Computer Security; Cooperative Behavior; Database Management Systems; Databases, Nucleic Acid; Documentation; Information Storage and Retrieval; Internet; Needs Assessment; Oligonucleotide Array Sequence Analysis; Software Design; User-Computer Interface;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2002.1175154
Filename :
1175154
Link To Document :
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