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PMID: 1633564 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Redesigning, implementing and integrating Escherichia coli genome software tools with an object-oriented database system.

Computer applications in the biosciences : CABIOS ·Vol. 8 ·No. 3 ·1992-06-00 ·Pages 227-38

Shin DG, Lee C, Zhang J, Rudd KE, Berg CM

Abstract

This paper reports our exploratory work to redesign, implement and integrate a collection of genome software tools with an object-oriented database system. Our software tools deal with genome data from Escherichia coli K-12, a bacterium that has been studied intensively and provides richer data sets than any other living organism. The object-oriented DBMS used for the integration is ONTOS, a commercial object-oriented system from Ontologic Inc. This redesign and implementation task was performed in two steps. First, C programs were converted into C++, and then the C++ version programs were modified and integrated with an object-oriented modeling of the data to form an ONTOS database application. The first step helps us develop a conceptual view for a DBMS-independent object-oriented construct. The second step elucidates what additional DBMS-dependent modification steps are needed to provide persistency to the objects. Examples are included to illustrate steps of the redesign and implementation. Overall, the outcome of this project demonstrates that programs and data can be successfully integrated with an object-oriented database, while providing the objects with persistency and shareability. This paper includes discussions using concrete examples on what advantage the object-oriented database approach provides over the relational database approach.

MeSH Terms
Base Sequence DNA, Bacterial/genetics Databases, Factual Escherichia coli/genetics Genome, Bacterial Molecular Sequence Data Restriction Mapping Software
Chemicals
DNA, Bacterial
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Shin D G
Computer Science and Engineering Department, University of Connecticut, Storrs 06269.
Lee C
Zhang J
Rudd K E
Berg C M
Article Info
Journal
Computer applications in the biosciences : CABIOS
Abbr.
Comput Appl Biosci
ISSN
0266-7061
Published
1992-06-00
Pages
227-38
Language
English
Region
England
NLM ID
8511758
Subset
IM
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