Abstract
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.
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Chhel, F., Goëffon, A., Lardeux, F., Saubion, F., Hunault, G., Boureau, T. (2011). Experimental Approach for Bacterial Strains Characterization. In: Pizzuti, C., Ritchie, M.D., Giacobini, M. (eds) Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. EvoBIO 2011. Lecture Notes in Computer Science, vol 6623. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20389-3_13
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DOI: https://doi.org/10.1007/978-3-642-20389-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20388-6
Online ISBN: 978-3-642-20389-3
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