Identification of <it>Enterobacter sakazakii </it>from closely related species: The use of Artificial Neural Networks in the analysis of biochemical and 16S rDNA data
<p>Abstract</p> <p>Background</p> <p><it>Enterobacter sakazakii </it>is an emergent pathogen associated with ingestion of infant formula and accurate identification is important in both industrial and clinical settings. Bacterial species can be difficult to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-03-01
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| Series: | BMC Microbiology |
| Online Access: | http://www.biomedcentral.com/1471-2180/6/28 |