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16S rRNA oligonucleotide catalog data base.

J M Sobieski, K N Chen, J C Filiatreau

    Nucleic Acids Research
    |January 11, 1984
    PubMed
    Summary
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    A new software package integrates 16S rRNA oligonucleotide catalog data for the first time. This tool enables comprehensive database management, analysis, and searching of oligonucleotide families.

    Area of Science:

    • Microbiology
    • Bioinformatics
    • Molecular Biology

    Background:

    • 16S ribosomal RNA (rRNA) sequences are crucial for microbial identification and phylogenetic analysis.
    • Cataloging 16S rRNA oligonucleotides is essential for accurate molecular diagnostics and research.
    • Existing data on 16S rRNA oligonucleotides are fragmented across various publications.

    Purpose of the Study:

    • To develop a centralized, accessible database for 16S rRNA oligonucleotide catalog data.
    • To create a software package for efficient management and manipulation of this data.
    • To facilitate comparative analysis and identification of related oligonucleotides and families.

    Main Methods:

    • Development of a comprehensive software package for database creation and maintenance.

    Related Experiment Videos

  • Integration of all previously published 16S rRNA oligonucleotide catalog data.
  • Implementation of functions for dendrogram generation, inter-catalog searches, and dictionary construction.
  • Inclusion of interactive search capabilities for dictionaries and associated oligonucleotide family files.

    • Main Results:

    • A unified and readily usable database of published 16S rRNA oligonucleotide catalog data has been established.
    • The software package enables efficient data retrieval and analysis.
    • Users can now easily search for related oligonucleotides across different catalogs and identify potential oligonucleotide families.

    Conclusions:

    • This integrated database and software package represent a significant advancement in managing 16S rRNA oligonucleotide information.
    • The tool enhances the usability and accessibility of critical data for microbial research and diagnostics.
    • It facilitates a deeper understanding of oligonucleotide relationships and aids in the identification of novel molecular markers.