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Related Experiment Videos

botXminer: mining biomedical literature with a new web-based application.

Uma Mudunuri1, Robert Stephens, David Bruining

  • 1Science Applications International Corporation-Frederick, Advanced Biomedical Computing Center, SAIC-Frederick Inc., National Cancer Institute-Frederick, Frederick, MD 21702, USA.

Nucleic Acids Research
|July 18, 2006
PubMed
Summary

BotXminer offers a novel application for searching MEDLINE data, enabling quantitative analysis beyond Entrez-PubMed. This tool retrieves and visualizes citation data, enhancing biomedical research accessibility.

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Area of Science:

  • Biomedical Informatics
  • Database Management
  • Bibliometrics

Background:

  • MEDLINE data is crucial for biomedical research but accessing and analyzing it can be challenging.
  • Existing interfaces like Entrez-PubMed have limitations in generating quantitative results.
  • Integrating complex XML-formatted data into relational systems requires advanced solutions.

Purpose of the Study:

  • To introduce botXminer, a publicly available application for searching XML-formatted MEDLINE data.
  • To demonstrate botXminer's capability in generating quantitative results not feasible with Entrez-PubMed.
  • To extend previous research on integrating MEDLINE citations with relational database systems.

Main Methods:

  • Developed a complete object-relational schema in Oracle XML DB for MEDLINE data.

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  • Implemented botXminer with a user-friendly interface for data retrieval and analysis.
  • Enabled retrieval of citations based on user-supplied search terms and specified MEDLINE fields and terms.

    • Main Results:

    • BotXminer successfully retrieves and processes MEDLINE citations, including title, abstract, journal, MeSH, and chemical information.
    • The application groups and displays retrieved data in tabulated or graphic formats.
    • Quantitative results for specific queries are generated, offering insights beyond standard search interfaces.

    Conclusions:

    • BotXminer provides a powerful and accessible tool for enhanced MEDLINE data exploration.
    • The application facilitates quantitative analysis and visualization of biomedical literature.
    • BotXminer represents a significant advancement in integrating and querying complex biomedical datasets.