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dc.contributor.authorGojobori, Takashi
dc.date.accessioned2019-08-20T06:22:24Z
dc.date.available2019-08-20T06:22:24Z
dc.date.issued2018-07-22
dc.identifier.citationGojobori, T. (2018). Toward the Genomic-Information Society. Smart Societies, Infrastructure, Technologies and Applications, 195–196. doi:10.1007/978-3-319-94180-6_19
dc.identifier.doi10.1007/978-3-319-94180-6_19
dc.identifier.urihttp://hdl.handle.net/10754/656534
dc.description.abstractIn life science, strong needs for big data analysis and its related data-oriented methodologies such as AI (Artificial Intelligence) are acutely increasing in the recent years. These needs are recognized in not only medical sciences but also other disciplines in which genomic information plays a crucial role in understanding phenomena of interest and in conducting their innovative application to practical usages in the society. It eventually leads us to significant implication that our society will have undergone totally new experiences with enormous benefits from various advancements by research and development of genome information. On the basis of such observations, I would like to propose a future vision of our society as a “Genome-Information-Oriented Society (G-Society)” or “Genomic Information Society”.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/978-3-319-94180-6_19
dc.rightsArchived with thanks to International Conference on Smart Cities, Infrastructure, Technologies and Applications
dc.subjectBig data
dc.subjectAI
dc.subjectMetagenomics
dc.titleToward the genomic-information society
dc.typeConference Paper
dc.contributor.departmentBioscience Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.conference.date2017-11-27 to 2017-11-29
dc.conference.name1st International Conference on Infrastructure, Technologies and Applications, SCITA 2017
dc.conference.locationJeddah, SAU
dc.eprint.versionPost-print
kaust.personGojobori, Takashi
refterms.dateFOA2019-08-22T12:52:14Z
dc.date.published-online2018-07-22
dc.date.published-print2018


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