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University of Cambridge > Talks.cam > Bacteriophage 2017 > Computational biology and tools for uncovering hidden information from the viral dark matter.
Computational biology and tools for uncovering hidden information from the viral dark matter.Add to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Ilana Spilka. With recent advances in DNA sequencing, the possibility of characterizing different microbial environments is a reality. Most studies have shown how Eukaryotic and prokaryotic microorganisms co-exist and thrive in almost any environment; however, very few studies have focused on the viral component of such communities. This lack of studies is not due to lack of interest, rather by the lack of comprehensive genetic information in public databases from viral genomes. However, as more viral metagenomic projects are generated, the opportunity of mining those datasets with novel computational strategies constitute an important approach for further understanding of such diverse communities This talk is part of the Bacteriophage 2017 series. This talk is included in these lists:
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