Microbial diseases remain the commonest cause of global mortality and morbidity. Automated-DNA sequencing has revolutionized the investigation of pathogenic microbes by making the immense fund of information contained in their genomes available at reasonable cost. The challenge is how this information can be used to increase current understanding of the biology of commensal and virulence behaviour of pathogens with particular emphasis on in vivo function and novel approaches to prevention. One example of the application of whole-genome-sequence information is afforded by investigations of the pathogenic role of Haemophilus influenzae lipopolysaccharide and its candidacy as a vaccine.
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Department of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, GermanyDepartment of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, Germany
Koeck, Daniela E.
Pechtl, Alexander
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Department of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, GermanyDepartment of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, Germany
Pechtl, Alexander
Zverlov, Vladimir V.
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Department of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, Germany
Institute of Molecular Genetics, Russian Academy of Science, Kurchatov Sq. 2, 123182 Moscow, RussiaDepartment of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, Germany
Zverlov, Vladimir V.
Schwarz, Wolfgang H.
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Department of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, GermanyDepartment of Microbiology, Technische Universität München, Emil-Ramann-Str. 4, D-85350 Freising-Weihenstephan, Germany