Linked Life Data

10724971

Source:http://linkedlifedata.com/resource/pubmed/id/10724971

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2000-2-24
pubmed:abstractText
An identification system for aquatic bacteria which would be useful for aspects ranging from pollution monitoring to health care, is described. It contains relevant information concerning the nature, taxonomy and activity of aquatic bacteria and allows to identify fresh isolates by means of their chemotaxonomic profiles. The system is simple and user friendly, so that it can be used by people not familiar with computers and has a modular interface that allows an easy interaction with laboratory instruments. The system is also connected with artificial neural network based programs to identify strains starting from the considered chemotaxonomic features.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
68
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
650-3
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
An integration system to rapidly identify aquatic bacteria.
pubmed:affiliation
Dept. of Communication Computer and System Sciences, University of Genova, Italy. giacomin@dist.unige.it
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't