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Storing biological sequence databases in relational form.

G Xie1, R DeMarco, R Blevins

  • 1Department of Bioinformatics, Merck & Co., Inc., WP42-300, West Point, PA 19486, USA.

Bioinformatics (Oxford, England)
|June 27, 2000
PubMed
Summary
This summary is machine-generated.

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We developed bioinformatics applications using Perl, Java, and XML to manage biological sequence databases in Oracle RDBMS. These tools offer an intuitive interface for database querying and integration with existing bioinformatics workflows.

Area of Science:

  • Bioinformatics
  • Database Management
  • Computational Biology

Background:

  • Biological sequence data management presents challenges.
  • Integrating diverse data into a unified system is crucial for research.

Purpose of the Study:

  • To develop a robust system for installing and managing biological sequence databases.
  • To create user-friendly interfaces for accessing and querying these databases.

Main Methods:

  • Utilized Perl and Java programming languages.
  • Implemented Extensible Markup Language (XML) for data structuring.
  • Employed Oracle Relational Database Management System (RDBMS) for data storage.
  • Developed a Java-based graphical user interface (GUI).

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Main Results:

  • Successfully created applications for biological sequence database installation.
  • Established an Oracle RDBMS for efficient data storage and retrieval.
  • Developed an easy-to-use Java interface for database querying.
  • Integrated new tools with existing in-house bioinformatics applications.

Conclusions:

  • The developed system provides an effective solution for managing biological sequence databases.
  • The combination of Perl, Java, and XML facilitates seamless database integration.
  • The user-friendly interface enhances accessibility for bioinformatics research.