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Computerization of virus data and its usefulness in virus classification.

A S Kolaskar1, P S Naik

  • 1Department of Zoology, University of Poona, Pune, India.

Intervirology
|January 1, 1992
PubMed
Summary

This study details a comprehensive database of 537 arboviruses and 180 other viruses, including their taxonomy, isolation history, and molecular properties. The data facilitate viral classification, as demonstrated by an analysis of the Bunyaviridae family.

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Area of Science:

  • Virology
  • Bioinformatics
  • Computational Biology

Background:

  • Comprehensive viral data collection is essential for accurate classification and understanding viral evolution.
  • Existing databases may lack integrated information on taxonomy, molecular properties, and experimental data.

Purpose of the Study:

  • To create a structured and analyzable database for a large collection of viruses, including arboviruses.
  • To demonstrate the utility of this database for viral classification and analysis.

Main Methods:

  • Collected and coded data for 537 arboviruses and 180 other viruses in two formats.
  • Included data on taxonomy, isolation, biomacromolecular properties, antigenic relationships, histopathology, and experimental viremia.
  • Developed programs for data interconversion and editing, and utilized dBASE III PLUS and MICRO-IS for data manipulation and analysis. Transmission electron micrographs were scanned and stored.

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Main Results:

  • A comprehensive, coded dataset encompassing viral taxonomy, isolation, molecular characteristics, and experimental data was established.
  • Data manipulation and analysis were enabled through specialized software and custom programs.
  • Demonstrated the application of the database in viral classification through an analysis of the Bunyaviridae family.

Conclusions:

  • The developed viral database provides a robust platform for comprehensive data analysis and manipulation.
  • This integrated approach facilitates viral classification and research, as exemplified by the Bunyaviridae family analysis.
  • The methodology supports the advancement of virological research through structured data management and analysis.