Construction of Matrices for Computer-Assisted Identification of Aerobic Gram-Positive Cocci Free

Abstract

Two identification matrices for use with computerized probabilistic identification were constructed, based on 327 reference strains and 212 field isolates of Gram-positive, aerobic coccoid bacteria. The first, MICR1, was constructed for catalase-positive strains (); the second, STPC1, for catalase-negative strains (streptococci). The quality of the resultant data was assessed using statistical analysis, and the value of the identification statistic used was considered in the light of possible alternatives.

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1982-04-01
2024-03-29
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References

  1. Baird-Parker A. C. 1966; Methods for classifying staphylococci and micrococci. In Identification Methods for Microbiologists 1A pp. 59–64 Edited by Gibbs B. H., Skinner F. A. London: Academic Press;
    [Google Scholar]
  2. Baird-Parker A. C. 1974; Micrococcaceae. In Bergey’s Manual of Determinative Bacteriology, 8th edn. pp. 478–489 Edited by Buchanan R. E., Gibbons N. E. Baltimore: Williams & Wilkins;
    [Google Scholar]
  3. Bascomb S., Lapage S. P., Curtis M. A., Willcox W. R. 1973; Identification of bacteria by computer: identification of reference strains. Journal of General Microbiology 77:291–355
    [Google Scholar]
  4. Buchanan R. E., Gibbons N. E. editors 1974 Bergey’s Manual of Determinative Bacteriology., 8th edn. Baltimore: Williams & Wilkins;
    [Google Scholar]
  5. Dybowski W., Franklin D. A. 1968; Conditional probability and the identification of bacteria: a pilot study. Journal of General Microbiology 54:215–229
    [Google Scholar]
  6. Feltham R. K. A. 1979a; A taxonomic study of the genus Streptococcus. In Pathogenic Streptococci Proceedings of the VIIth International Symposium on Streptococci and Streptococcal Diseases (Oxford, 1978) pp. 247–248 Edited by Parker M. T. Chertsey: Reedbooks;
    [Google Scholar]
  7. Feltham R. K. A. 1979b; A taxonomic study of the Micrococcaceae. Journal of Applied Bacteriology 47:243–254
    [Google Scholar]
  8. Feltham R. K. A., Power A. K., Pell P. A., Sneath P. H. A. 1978; A simple method for the storage of bacteria at −76 °C. Journal of Applied Bacteriology 44:313–316
    [Google Scholar]
  9. Hardy M. A., Dalton H. P., Allison M. J. 1978; Laboratory identification and epidemiology of streptococcal hospital isolates. Journal of Clinical Microbiology 8:534–544
    [Google Scholar]
  10. Hill L. R., Lapage S. P., Bowie J. S. 1978; Computer assisted identification of coryneform bacteria. In Coryneform Bacteria pp. 181–215 Edited by Bousfield I. J., Callely A. G. London: Academic Press;
    [Google Scholar]
  11. Kelley R. W., Kellogg S. T. 1978; Computer-assisted identification of anaerobic bacteria. Applied and Environmental Microbiology 35:507–511
    [Google Scholar]
  12. Kloos W. E., Schleifer K. H. 1975; Simplified scheme for routine identification of human Staphylococcus species. Journal of Clinical Microbiology 1:82–88
    [Google Scholar]
  13. Lapage S. P., Bascomb S., Willcox W. R., Curtis M. A. 1973; Identification of bacteria by computer: general aspects and perspectives. Journal of General Microbiology 77:273–290
    [Google Scholar]
  14. Parker M. T., Ball L. C. 1976; Streptococci and aerococci associated with systemic infections in man. Journal of Medical Microbiology 9:275–299
    [Google Scholar]
  15. Skerman V. B. D., Mcgowan V., Sneath P. H. A. 1980; Approved lists of bacterial names. International Journal of Systematic Bacteriology 30:225–420
    [Google Scholar]
  16. Sneath P. H. A. 1974; Test reproducibility in relation to identification. International Journal of Systematic Bacteriology 24:508–523
    [Google Scholar]
  17. Sneath P. H. A. 1979a; BASIC program for identification of an unknown with presence-absence data against an identification matrix of percent positive characters. Computers & Geosciences 5:195–213
    [Google Scholar]
  18. Sneath P. H. A. 1979b; BASIC program for character separation indices from an identification matrix of percent positive characters. Computers & Geosciences 5:349–357
    [Google Scholar]
  19. Sneath P. H. A. 1980a; BASIC program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters. Computers & Geosciences 6:27–34
    [Google Scholar]
  20. Sneath P. H. A. 1980b; BASIC program for determining overlaps between groups in an identification matrix of percent positive characters. Computers & Geosciences 6:262–278
    [Google Scholar]
  21. Waitkins S. A., Ball L. C., Fraser C. A. M. 1980; Use of the APIZYM system in rapid identification of a and non-haemolytic streptococci. Journal of Clinical Pathology 33:53–57
    [Google Scholar]
  22. Willcox W. R., Lapage S. P., Bascomb S., Curtis M. A. 1973; Identification of bacteria by computer: theory and programming. Journal of General Microbiology 77:317–330
    [Google Scholar]
  23. Willcox W. R., Lapage S. P., Holmes B. 1980; A review of numerical methods in bacterial identification. Antonie van Leeuwenhoek 46:233–299
    [Google Scholar]
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