Web-based methods for genomic epidemiology

The cost of sequencing a bacterial genome is $50 and this is expected to decrease further in the near future. Within a few years, all clinical microbiological laboratories will use a sequencer on a routine basis and whole genome sequencing will be applied worldwide in medical practices and many other bacteria-related areas. The cost of the sequencing will no longer be a limiting factor, instead the challenges will lie in the standardized assembly, processing, and handling of large amounts of sequencing data to yield useful results for diagnostics and surveillance.
In this webinar, we discuss our work to provide the scientific foundation for future internet-based solutions for microorganism sequence analysis. We envisage a central genomic epidemiological database for global identification of microorganisms that will store whole genome sequence data of microorganisms and enable sequence comparisons for metagenomics analysis, detection of outbreaks and emerging pathogens, provision of personalized treatments, and surveillance of infectious disease. The aim of this database is to become an unambiguous 'Global Microbial Identifier'. We also develop algorithms for rapid analyses of whole genome DNA sequences, tools for analyses and extraction of information from the sequence data, and web-interfaces to make the tools accessible to the global scientific and medical community. 

Frank Møller Aarestrup

Frank Møller Aarestrup is a Professor and Research Manager at the National Food Institute, Technical University of Denmark. He has over 10 years experience as a leader of a WHO collaborating center. He has proven experience in using whole genome sequencing for epidemiological and diagnostic investigation, and has recently pioneered the development of easy-to-use, online bioinformatics tools for analysis of whole genome sequenced bacteria in a large Danish-funded project.
Ole Lund

Ole Lund is a Professor at the Center for Biological Sequence Analysis, Technical University of Denmark. He has worked in the fields of mathematical biology and bioinformatics since 1992. During this period, he has contributed to a number of diverse areas including simulation of biological systems on a cellular level, predictions of protein sequence motifs (glycosylations and MHC binding), protein structure prediction, and human and bacterial genomics. This work has been described in 108 peer-reviewed papers in scientific journals, which have been citied more than 3000 times (h-index: 32). Currently his research focus is making genotype-to-phenotype associations based on whole genome sequences.