Experimental Approach for Bacterial Strains Characterization

TitreExperimental Approach for Bacterial Strains Characterization
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Date du colloque2011
Titre du colloque9th European Conference, EvoBIO 2011
Titre des actes ou de la revueEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Pagination135 - 140
AuteurChhel, Fabien , Goëffon, Adrien , Lardeux, Frédéric , Saubion, Frédéric , Hunault, Gilles, Boureau, Tristan
ISBN978-3-642-20388-6 / 978-3-642-20389-3
Mots-clésalgorithm analysis and problem complexity, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Computational Biology/Bioinformatics, Data structures, Database Management
Résumé en anglais

In plant biology, data acquisition is no longer necessarily a major problem but nevertheless the treatment and the use of these data are still difficult. In this work, we are particularly interested by the characterization of strains of phytopathogenic bacterias, which is an important issue in the study of plant diseases. We study and compare several methods computing the smallest possible characterizations. These experiments have allowed us to characterize specific strains and diagnosis tests have been produced and used.


Date du colloque : 04/2011

URL de la noticehttp://okina.univ-angers.fr/publications/ua4447
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