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dc.date.accessioned2020-10-29T14:15:36Z
dc.date.available2020-10-29T14:15:36Z
dc.date.issued2016-09-09
dc.identifier.urihttps://hdl.handle.net/1721.1/128236
dc.description.abstractProchlorococcus is the smallest and most abundant photosynthetic organism on earth. Despite its tiny size, it’s an organism of global importance. In recent decades, researchers have sequenced the organisms’ genomes. Advances in sequencing technologies have generated massive databases of ocean genomic data from around the world. So while there is rich data available about Prochlorococcus, mining the value of this Big Data is difficult because it requires simultaneously analyzing various types of complex information. For the past six months, the team has worked with the Chisholm Lab at MIT to develop applications within their BigDAWG architecture to fit the specific needs of the lab.en_US
dc.language.isoen_USen_US
dc.publisherMIT Lincoln Laboratoryen_US
dc.relation.ispartofseriesThe Bulletin;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectLincoln Laboratoryen_US
dc.subjectSupercomputingen_US
dc.subjectLLSCen_US
dc.subjectInformation Sciencesen_US
dc.subjectBigDAWGen_US
dc.titleA Tiny Organism with a Big Data Problemen_US
dc.typeArticleen_US


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