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A microcomputer program for analysis of nucleic acid hybridization data

S Green, J K Field, C D Green

    Nucleic Acids Research
    |February 25, 1982
    PubMed
    Summary
    This summary is machine-generated.

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    This study presents a non-linear curve fitting program for nucleic acid hybridization analysis on an Apple II microcomputer. It discusses the benefits and drawbacks of using microcomputers for local data processing in scientific research.

    Area of Science:

    • Computational Biology
    • Biophysics
    • Molecular Biology

    Background:

    • Nucleic acid hybridization analysis requires fitting theoretical models to experimental data.
    • Computer-mediated data fitting is crucial for accurate interpretation of hybridization experiments.

    Purpose of the Study:

    • To describe a non-linear curve fitting program for analyzing nucleic acid hybridization.
    • To evaluate the utility of microcomputers for local data processing in scientific studies.

    Main Methods:

    • Development of a non-linear curve fitting program utilizing the 'Patternsearch' algorithm.
    • Implementation of the program in BASIC for the Apple II microcomputer.

    Main Results:

    • Successful application of the program for fitting theoretical models to experimental data in nucleic acid hybridization.

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  • Discussion of the advantages and disadvantages of employing microcomputers for on-site data analysis.

    • Conclusions:

    • Microcomputers can be effectively utilized for local data processing in nucleic acid hybridization studies.
    • The developed 'Patternsearch' algorithm-based program offers a viable tool for researchers in the field.