Literature DB >> 8748298

Evaluation of new computer-enhanced identification program for microorganisms: adaptation of BioBASE for identification of members of the family Enterobacteriaceae.

J M Miller1, P Alachi.   

Abstract

We report the use of BioBASE, a computer-enhanced numerical identification software package, as a valuable aid for the rapid identification of unknown enteric bacilli when using conventional biochemicals. We compared BioBASE identification results with those of the Centers for Disease Control and Prevention's mainframe computer to determine the former's accuracy in identifying both common and rare unknown isolates of the family Enterobacteriaceae by using the same compiled data matrix. Of 293 enteric strains tested by BioBASE, 278 (94.9%) were correctly identified to the species level; 13 (4.4%) were assigned unacceptable or low discrimination profiles, but 8 of these (2.7%) were listed as the first choice; and 2 (0.7%) were not identified correctly because of their highly unusual biochemical profiles. The software is user friendly, rapid, and accurate and would be of value to any laboratory that uses conventional biochemicals.

Mesh:

Year:  1996        PMID: 8748298      PMCID: PMC228755          DOI: 10.1128/jcm.34.1.179-181.1996

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  12 in total

1.  Numerical taxonomy.

Authors:  P H SNEATH; R R SOKAL
Journal:  Nature       Date:  1962-03-03       Impact factor: 49.962

2.  Some thoughts on bacterial classification.

Authors:  P H SNEATH
Journal:  J Gen Microbiol       Date:  1957-08

3.  Identification of bacteria by computer: identification of reference strains.

Authors:  S Bascomb; S P Lapage; M A Curtis; W R Willcox
Journal:  J Gen Microbiol       Date:  1973-08

4.  Identification of bacteria by computer: general aspects and perspectives.

Authors:  S P Lapage; S Bascomb; W R Willcox; M A Curtis
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5.  Identification of bacteria by computer: theory and programming.

Authors:  W R Willcox; S P Lapage; S Bascomb; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

6.  Conditional probability and the identification of bacteria: a pilot study.

Authors:  W Dybowski; D A Franklin
Journal:  J Gen Microbiol       Date:  1968-12

Review 7.  Biochemical identification of new species and biogroups of Enterobacteriaceae isolated from clinical specimens.

Authors:  J J Farmer; B R Davis; F W Hickman-Brenner; A McWhorter; G P Huntley-Carter; M A Asbury; C Riddle; H G Wathen-Grady; C Elias; G R Fanning
Journal:  J Clin Microbiol       Date:  1985-01       Impact factor: 5.948

8.  A model for computer identification of micro-organisms.

Authors:  H G Gyllenberg
Journal:  J Gen Microbiol       Date:  1965-06

9.  Numerical approach to reference identification of Staphylococcus, Stomatococcus, and Micrococcus spp.

Authors:  D L Rhoden; G A Hancock; J M Miller
Journal:  J Clin Microbiol       Date:  1993-03       Impact factor: 5.948

10.  Evaluation of API Coryne in comparison with conventional methods for identifying coryneform bacteria.

Authors:  J Freney; M T Duperron; C Courtier; W Hansen; F Allard; J M Boeufgras; D Monget; J Fleurette
Journal:  J Clin Microbiol       Date:  1991-01       Impact factor: 5.948

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  2 in total

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Authors:  Oscar Flores; Lluís A Belanche; Anicet R Blanch
Journal:  J Clin Microbiol       Date:  2009-10-14       Impact factor: 5.948

2.  Transposon mutagenesis identified chromosomal and plasmid genes essential for adaptation of the marine bacterium Dinoroseobacter shibae to anaerobic conditions.

Authors:  Matthias Ebert; Sebastian Laaß; Melanie Burghartz; Jörn Petersen; Sebastian Koßmehl; Lars Wöhlbrand; Ralf Rabus; Christoph Wittmann; Petra Tielen; Dieter Jahn
Journal:  J Bacteriol       Date:  2013-08-23       Impact factor: 3.490

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