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 |
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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. |
doi_str_mv | 10.1093/bioinformatics/1.1.23 |
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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. 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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.</description><subject>api test</subject><subject>Bacillus (bacteria)</subject><subject>Bacillus - classification</subject><subject>Bacterial Typing Techniques - instrumentation</subject><subject>Bayes Theorem</subject><subject>bbactid</subject><subject>chemotaxonomy</subject><subject>computer analysis</subject><subject>computer software</subject><subject>Computer Systems</subject><subject>identification</subject><subject>Microcomputers</subject><subject>probability analysis</subject><subject>Software Design</subject><subject>testing</subject><issn>0266-7061</issn><issn>1367-4803</issn><issn>1460-2059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1985</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkEtLxDAUhYMoOj5-wmBX7jqTR_NaqqijjIiMorgJaZpItG1q0oL-ezvMIMhd3MX5zrncA8AUwRmCksxLH3zrQmx0702aoxmaYbIDJqhgMMeQyl0wgZixnEOGDsBhSh8QUlQUxT7YJxIxIeEEyHtvYjCh6Ybexkyn5FNvq8xXtu2982ZMD20WXHahja_rIWWps8bbdAz2nK6TPdnuI_B8ffV0uciXDze3l-fL3BCG-tyVtOQCm8pxSqgVGjsmuERGVAZbZxDGrmQGMqiJ5qxgzhFXiZGXpHQckyNwtsntYvgabOpV45Oxda1bG4akOGNMCiFHkG7A8aGUonWqi77R8UchqNaVqf-VKTQOJqNvuj0wlI2t_lzbjkY93-jrZr7_ZB0_FeOEU7V4fVNytXx8hHdCvYz86YZ3Oij9Hn1SzysMEYGIUyoJIb8mfYYJ</recordid><startdate>1985</startdate><enddate>1985</enddate><creator>Bryant, T.N</creator><creator>Capey, A.G</creator><creator>Berkeley, R.C.W</creator><general>Oxford University Press</general><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>1985</creationdate><title>Microcomputer assisted identification of Bacillus species</title><author>Bryant, T.N ; Capey, A.G ; Berkeley, R.C.W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-fb5b782cdf7535e8a2f68791c8dc2efc122fb6c060a3a7646ff3fd8cdf93bf723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1985</creationdate><topic>api test</topic><topic>Bacillus (bacteria)</topic><topic>Bacillus - classification</topic><topic>Bacterial Typing Techniques - instrumentation</topic><topic>Bayes Theorem</topic><topic>bbactid</topic><topic>chemotaxonomy</topic><topic>computer analysis</topic><topic>computer software</topic><topic>Computer Systems</topic><topic>identification</topic><topic>Microcomputers</topic><topic>probability analysis</topic><topic>Software Design</topic><topic>testing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bryant, T.N</creatorcontrib><creatorcontrib>Capey, A.G</creatorcontrib><creatorcontrib>Berkeley, R.C.W</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bryant, T.N</au><au>Capey, A.G</au><au>Berkeley, R.C.W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microcomputer assisted identification of Bacillus species</atitle><jtitle>Bioinformatics</jtitle><addtitle>Comput Appl Biosci</addtitle><date>1985</date><risdate>1985</risdate><volume>1</volume><issue>1</issue><spage>23</spage><epage>27</epage><pages>23-27</pages><issn>0266-7061</issn><issn>1367-4803</issn><eissn>1460-2059</eissn><abstract>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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>3916890</pmid><doi>10.1093/bioinformatics/1.1.23</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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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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