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dc.contributor.authorMineta, Katsuhiko
dc.date.accessioned2016-03-16T12:53:20Z
dc.date.available2016-03-16T12:53:20Z
dc.date.issued2016-01-26
dc.identifier.urihttp://hdl.handle.net/10754/601399
dc.description.abstractMetagenome produces a tremendous amount of data that comes from the organisms living in the environments. This big data enables us to examine not only microbial genes but also the community structure, interaction and adaptation mechanisms at the specific location and condition. The Red Sea has several unique characteristics such as high salinity, high temperature and low nutrition. These features must contribute to form the unique microbial community during the evolutionary process. Since 2014, we started monthly samplings of the metagenomes in the Red Sea under KAUST-CCF project. In collaboration with Kitasato University, we also collected the metagenome data from the ocean in Japan, which shows contrasting features to the Red Sea. Therefore, the comparative metagenomics of those data provides a comprehensive view of the Red Sea microbes, leading to identify key microbes, genes and networks related to those environmental differences.
dc.titleComparative metagenomics of the Red Sea
dc.typePresentation
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.conference.dateJanuary 25-27, 2016
dc.conference.nameKAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology
dc.conference.locationKAUST, Thuwal, Saudi Arabia
kaust.personMineta, Katsuhiko


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