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Modeling miRNA data
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Computer applications in health care table of contents
Pages: 158 - 162  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Sarah Lopez  University of Nebraska at Omaha, Omaha, NE
Guoqing Lu  University of Nebraska at Omaha, Omaha, NE
Zhengxin Chen  University of Nebraska at Omaha, Omaha, NE
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

As a sub-type of ncRNA genes, micro RNA (miRNA) produces RNA that is implicated in the regulation of gene translation and expression. Human diseases can result from alternation in such non-coding RNA. Building a consolidated miRNA database repository thus becomes a crucial element for miRNA-related research. We have set up a dual objective in our work: To explore alternative approaches for miRNA data modeling, and to consolidate miRNA data in an integrated repository for future retrieval and analysis of miRNA data. We have explored three approaches for miRNA data modeling. For the same source data, we have implemented a relational database (converted from an initial entity-relationship diagram), an XML database, and an integrated XML-relational database. We have also compared their performance on the criteria of query performance and design flexibility. Though using entity-relationship modeling of the data provides access to the strength and stability of relational databases, our work concludes that XML information modeling and native XML databases provide geneticists the adaptability and flexibility required to model a complex, constantly changing domain such as miRNA research.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Mattick, J. S., Makunin I. V., Non-coding RNA, Hum Mol Genet, Vol. 15, No. suppl_1, April 2006.
 
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Shai, P., Loukianiouk, S., Bohne-Lang, A., Kenzelmann, M., Küffer, S., Maertens, S., Eils, R., Argonaute - a database for gene regulation by mammalian microRNAs. Nucleic Acids Research Database Issue, <b>34,</b> D115-D118, 2006.
 
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Strax, J. (editor), New class of cancer-causing genes: aberrant "microRNA" linked to human cancer. http://psarising.com/med/gene/micro-RNA0605.html, June 2005.
 
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Waugh, A., Gendron, P., Altman, R., Brown, J., Case, D., Gautheret, D., Harvey, S., Leontis, N. Westbrook, J., Westhof, E., Zuker, M., Major, F., RNAML: A Standard Syntax for exchanging RNA information. RNA, <b>8,</b> 707--717, 2002.

Collaborative Colleagues:
Sarah Lopez: colleagues
Guoqing Lu: colleagues
Zhengxin Chen: colleagues