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A common philosophy and FORTRAN 77 software package for implementing and searching sequence databases.

J M Claverie

    Nucleic Acids Research
    |January 11, 1984
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a unified software package for managing nucleic acid and protein sequence databases, enabling efficient data access and customized searching on various computer systems.

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Database Management

    Background:

    • Managing large biological sequence data is crucial for research.
    • Existing databases like EMBL, GenBank, and Dayhoff require efficient implementation strategies.
    • Need for accessible software for sequence data analysis on diverse computing platforms.

    Purpose of the Study:

    • To present a common philosophy and software package for implementing and accessing major biological sequence databases.
    • To facilitate efficient data retrieval and analysis for researchers.
    • To provide a versatile tool for custom database subset creation and complex search queries.

    Main Methods:

    • Development of a FORTRAN 77 software package.
    • Implementation of modules for database initialization from magnetic tape.

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  • Inclusion of modules for fast mnemonic access and key-string access.
  • Integration of a common probe searching module for stacked search requests.

    • Main Results:

    • A fully transportable software package for EMBL, GenBank, and Dayhoff databases.
    • Efficient data access through mnemonic and key-string methods.
    • Capability to define user-specific database subsets.
    • Support for stacking multiple search requests for comprehensive analysis.

    Conclusions:

    • The developed software provides a unified and efficient approach to biological sequence database management.
    • The package is suitable for 32-bit mini/microcomputers and adaptable to 16-bit systems.
    • This facilitates broader accessibility and utilization of critical biological data for scientific inquiry.