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A comprehensive sequence analysis program for the IBM personal computer.

C Queen, L J Korn

    Nucleic Acids Research
    |January 11, 1984
    PubMed
    Summary
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    This study introduces a versatile, interactive program for analyzing nucleic acid and protein sequences on personal computers. It offers advanced features and a novel algorithm for rapid restriction enzyme site identification.

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Molecular Biology

    Background:

    • Traditional sequence analysis relies on large, often inaccessible mainframe computers.
    • Limited availability of user-friendly software for microcomputers in molecular biology.
    • Need for efficient data entry and analysis tools for nucleic acid and protein sequences.

    Purpose of the Study:

    • To develop a versatile, interactive sequence analysis program for the IBM Personal Computer.
    • To incorporate features comparable to large computer systems, including homology routines and data bank access.
    • To create a novel algorithm for rapid identification of restriction enzyme sites.

    Main Methods:

    • Development of an interactive, self-instructing software program for sequence analysis.

    Related Experiment Videos

  • Implementation of extensive homology routines and new data entry procedures.
  • Integration of the entire Nucleic Acid Sequence Data Bank.
  • Devising a new algorithm for restriction enzyme site identification.

    • Main Results:

    • A versatile program for nucleic acid and protein sequence analysis is now available for personal computers.
    • The program includes comprehensive homology routines and efficient data entry.
    • It can store and utilize the entire Nucleic Acid Sequence Data Bank.
    • A novel algorithm enables the rapid identification of all restriction enzyme sites on a small plasmid for 100 enzymes within 1-2 minutes.

    Conclusions:

    • Microcomputer-based sequence analysis is feasible and offers significant advantages in accessibility and speed.
    • The developed program provides a powerful and user-friendly tool for molecular biologists.
    • The new restriction enzyme site finding algorithm represents a substantial improvement in computational efficiency.