Microcomputer assisted identification of Bacillus species

A microcomputer based system for the identification of unknown isolates of Bacillus species is described. The identification matrix includes 78 test probabilities for 38 recognised species and other groups in the genus Bacillus and it is based on the work of Logan and Berkeley (1984). Morphological...

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Veröffentlicht in:Bioinformatics 1985, Vol.1 (1), p.23-27
Hauptverfasser: Bryant, T.N, Capey, A.G, Berkeley, R.C.W
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creator Bryant, T.N
Capey, A.G
Berkeley, R.C.W
description A microcomputer based system for the identification of unknown isolates of Bacillus species is described. The identification matrix includes 78 test probabilities for 38 recognised species and other groups in the genus Bacillus and it is based on the work of Logan and Berkeley (1984). Morphological characters together with the results of tests using API 20E and API 50CHB, read after 24 and 48 h incubation, are used to obtain a probabilistic identification of an unknown aerobic endospore forming rod. Any differences between the observed and expected results for any identified organism are listed. Identification can be attempted on the basis of a limited set of test results, although this is rarely if ever done with this largely API based system, and if the unknown cannot be successfully identified then a set of additional tests can be selected which should permit identification. The computer system can store and recall test results entered for any isolate. This feature allows the accumulation of data on isolates which could be used to update the identification matrix in future taxonomic studies.
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source MEDLINE; Access via Oxford University Press (Open Access Collection); Oxford University Press Journals Digital Archive Legacy; Alma/SFX Local Collection
subjects api test
Bacillus (bacteria)
Bacillus - classification
Bacterial Typing Techniques - instrumentation
Bayes Theorem
bbactid
chemotaxonomy
computer analysis
computer software
Computer Systems
identification
Microcomputers
probability analysis
Software Design
testing
title Microcomputer assisted identification of Bacillus species
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