Building cloud computing environments for genome analysis in Japan.


Journal

Human genome variation
ISSN: 2054-345X
Titre abrégé: Hum Genome Var
Pays: England
ID NLM: 101652445

Informations de publication

Date de publication:
14 Dec 2022
Historique:
received: 22 07 2022
accepted: 07 11 2022
revised: 29 10 2022
entrez: 14 12 2022
pubmed: 15 12 2022
medline: 15 12 2022
Statut: epublish

Résumé

This review article describes the current status of data archiving and computational infrastructure in the field of genomic medicine, focusing primarily on the situation in Japan. I begin by introducing the status of supercomputer operations in Japan, where a high-performance computing infrastructure (HPCI) is operated to meet the diverse computational needs of science in general. Since this HPCI consists of supercomputers of various architectures located across the nation connected via a high-speed network, including supercomputers specialized in genome science, the status of its response to the explosive increase in genomic data, including the International Nucleotide Sequence Database Collaboration (INSDC) data archive, is explored. Separately, since it is clear that the use of commercial cloud computing environments needs to be promoted, both in light of the rapid increase in computing demands and to support international data sharing and international data analysis projects, I explain how the Japanese government has established a series of guidelines for the use of cloud computing based on its cybersecurity strategy and has begun to build a government cloud for government agencies. I will also carefully consider several other issues of user concern. Finally, I will show how Japan's major cloud computing infrastructure is currently evolving toward a multicloud and hybrid cloud configuration.

Identifiants

pubmed: 36517473
doi: 10.1038/s41439-022-00223-8
pii: 10.1038/s41439-022-00223-8
pmc: PMC9751107
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

46

Subventions

Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP19km0405501

Informations de copyright

© 2022. The Author(s).

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Auteurs

Osamu Ogasawara (O)

Bioinformation and DDBJ Center, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan. oogasawa@nig.ac.jp.

Classifications MeSH