Toward the genomic-information society

Takashi Gojobori*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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”.

Original languageEnglish (US)
Title of host publicationSmart Societies, Infrastructure, Technologies and Applications - First International Conference, SCITA 2017, Proceedings
EditorsRashid Mehmood, Iyad Katib, Imrich Chlamtac, Budhendra Bhaduri
PublisherSpringer Verlag
Pages195-196
Number of pages2
ISBN (Print)9783319941790
DOIs
StatePublished - 2018
Event1st International Conference on Infrastructure, Technologies and Applications, SCITA 2017 - Jeddah, Saudi Arabia
Duration: Nov 27 2017Nov 29 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume224
ISSN (Print)1867-8211

Conference

Conference1st International Conference on Infrastructure, Technologies and Applications, SCITA 2017
Country/TerritorySaudi Arabia
CityJeddah
Period11/27/1711/29/17

Bibliographical note

Publisher Copyright:
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

  • AI
  • Big data
  • Metagenomics

ASJC Scopus subject areas

  • Computer Networks and Communications

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