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Related Concept Videos

Genomics02:02

Genomics

36.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

19.1K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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DNA Microarrays02:34

DNA Microarrays

18.1K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
18.1K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.9K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Aug 17, 2025

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

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Building cloud computing environments for genome analysis in Japan.

Osamu Ogasawara1

  • 1Bioinformation and DDBJ Center, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan. oogasawa@nig.ac.jp.

Human Genome Variation
|December 14, 2022
PubMed
Summary

Japan

Area of Science:

  • Genomic Medicine
  • Computational Biology
  • Bioinformatics Infrastructure

Background:

  • Genomic medicine generates vast amounts of data, requiring robust computational infrastructure.
  • Japan's High-Performance Computing Infrastructure (HPCI) supports diverse scientific needs, including genome science.
  • International data sharing and analysis necessitate secure and scalable cloud environments.

Purpose of the Study:

  • To review the current state of data archiving and computational infrastructure in Japan's genomic medicine field.
  • To assess the HPCI's capacity for handling increasing genomic data volumes.
  • To examine the adoption and development of cloud computing strategies for genomic data in Japan.

Main Methods:

  • Review of Japan's High-Performance Computing Infrastructure (HPCI) for genome science.

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

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  • Analysis of government guidelines for cloud computing adoption in research.
  • Exploration of Japan's national cloud initiatives and cybersecurity strategies.
  • Assessment of the evolution towards multicloud and hybrid cloud configurations.

    • Main Results:

    • Japan's HPCI is adapting to the surge in genomic data, including INSDC archives.
    • Government guidelines and a national cloud are being established to promote secure cloud computing.
    • Major cloud infrastructure is transitioning to multicloud and hybrid models.
    • Consideration of user concerns regarding data security and accessibility.

    Conclusions:

    • Japan is actively developing its computational infrastructure to meet the demands of genomic medicine.
    • Strategic implementation of cloud computing, guided by cybersecurity, is crucial for data sharing and analysis.
    • The future of Japan's genomic data infrastructure lies in flexible multicloud and hybrid solutions.