Name:
456 Takashi Gojobori Toward the Genomic-Information Society _ SpringerLink 2018.7.23.pdf
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Accepted Manuscript
Type
Conference PaperAuthors
Gojobori, Takashi
KAUST Department
Bioscience ProgramComputational Bioscience Research Center (CBRC)
Biological and Environmental Sciences and Engineering (BESE) Division
Date
2018-07-22Online Publication Date
2018-07-22Print Publication Date
2018Permanent link to this record
http://hdl.handle.net/10754/656534
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In 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”.Citation
Gojobori, T. (2018). Toward the Genomic-Information Society. Smart Societies, Infrastructure, Technologies and Applications, 195–196. doi:10.1007/978-3-319-94180-6_19Publisher
Springer VerlagConference/Event name
1st International Conference on Infrastructure, Technologies and Applications, SCITA 2017Additional Links
http://link.springer.com/10.1007/978-3-319-94180-6_19ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-94180-6_19