title: An integration system to rapidly identify aquatic bacteria.
abstract: 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.
authors.affiliation: Dept. of Communication Computer and System Sciences, University of Genova, Italy. giacomin@dist.unige.it
authors.forename: M
authors.initials: M
authors.lastname: Giacomini
authors.forename: S
authors.initials: S
authors.lastname: Bertone
authors.forename: C
authors.initials: C
authors.lastname: Ruggiero
authors.forename: F
authors.initials: F
authors.lastname: Caneva Soumetz
authors.forename: A
authors.initials: A
authors.lastname: Bisio
authors.forename: G
authors.initials: G
authors.lastname: Odino
authors.forename: L
authors.initials: L
authors.lastname: Calegari
mesh_terms: D001419:Bacteria / Q000302:isolation & purification*; D001431:Bacteriological Techniques; D019992:Databases as Topic; D006801:Humans; D016571:Neural Networks, Computer; D014584:User-Computer Interface; D014871:Water Microbiology