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Apple II PASCAL programs for molecular biologists.

B Malthiery, B Bellon, D Giorgi

    Nucleic Acids Research
    |January 11, 1984
    PubMed
    Summary
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    This PASCAL program package offers user-friendly DNA sequence analysis tools for the Apple II, enabling sequence manipulation and homology searches without prior computer expertise.

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Molecular Biology

    Background:

    • The need for accessible DNA sequence analysis tools is crucial for researchers.
    • Early microcomputers like the Apple II offered potential for localized data processing.

    Purpose of the Study:

    • To present a suite of PASCAL programs for DNA sequence handling and analysis on the Apple II microcomputer.
    • To provide an interactive and user-friendly interface for individuals with limited computer experience.

    Main Methods:

    • Development of interactive PASCAL programs for DNA sequence entry, modification, and display.
    • Implementation of analysis functions including translation, restriction site searching, and homology detection with adjustable parameters.
    • Inclusion of utility programs for integrating BASIC/CP/M DNA data and assembling DNA fragments from techniques like GILBERT-MAXAM or M13.

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    Main Results:

    • A comprehensive package of DNA sequence handling and analysis programs for the Apple II.
    • Interactive features allowing sequence manipulation (entry, modification, reverse complement, creation) and various display formats.
    • Functional analysis tools for translation, restriction site identification, and homology searches (exact or with adjustable match percentage).
    • Two additional programs facilitating data compatibility and automated DNA fragment assembly.

    Conclusions:

    • The PASCAL program package provides a valuable and accessible resource for DNA sequence analysis on the Apple II.
    • The software empowers users, even those with no prior computer experience, to perform essential molecular biology tasks.
    • The integrated functionalities enhance the utility for data management and the reconstruction of complete DNA sequences from fragments.