The main goal of this project is to design new techniques for genome assembly and genome annotation by genomic signal processing methods and machine learning techniques. The methods will allow the whole-genome analysis leading to more precise description of antibiotic resistance transmission. The development of new computational methods is laboratory validated on bacteria Klebsiella pneumoniae and Clostridium difficile in labs of University Hospital Brno.
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