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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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 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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Related Experiment Video

Updated: Jun 22, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

UTGB toolkit for personalized genome browsers.

Taro L Saito1, Jun Yoshimura, Shin Sasaki

  • 1Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa City, Chiba 277-0882, Japan.

Bioinformatics (Oxford, England)
|June 6, 2009
PubMed
Summary

High-throughput DNA sequencers generate vast genomic data. The University of Tokyo Genome Browser (UTGB) Toolkit offers personalized, easy-to-install genome browsers for analyzing local data efficiently.

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Published on: July 12, 2022

Area of Science:

  • Genomics and Bioinformatics
  • Computational Biology

Background:

  • High-throughput DNA sequencing technologies generate massive genomic datasets weekly, surpassing traditional methods.
  • This data explosion necessitates efficient tools for local data analysis, particularly personalized genome browsers.

Purpose of the Study:

  • To introduce the University of Tokyo Genome Browser (UTGB) Toolkit, designed for personalized genome browsing.
  • To address the need for easy installation, local data analysis, and rapid, tailored web interface design.

Main Methods:

  • Development of the UTGB Toolkit, an open-source software solution.
  • Focus on user-centric design principles for installation and interface customization.

Main Results:

  • The UTGB Toolkit provides a system for personalized genome browsers.
  • It facilitates easy installation and enables browsing of locally stored genomic data.
  • Allows for rapid, interactive design of customized web interfaces.

Conclusions:

  • The UTGB Toolkit meets the critical need for personalized genome browsers in the era of high-throughput sequencing.
  • Offers a flexible, open-source solution for researchers to analyze large, local genomic datasets.