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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.
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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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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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Related Experiment Video

Updated: Mar 31, 2026

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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WheatGenome.info: A Resource for Wheat Genomics Resource.

Kaitao Lai1

  • 1School of Agriculture and Food Science, University of Queensland, Hartley Teakle Building 83, St. Lucia, QLD, 4072, Australia. k.lai1@uq.edu.au.

Methods in Molecular Biology (Clifton, N.J.)
|November 1, 2015
PubMed
Summary

WheatGenome.info is a new integrated database providing comprehensive wheat genome and genomic data. This resource supports wheat research and crop improvement through various web-based applications and data-sharing tools.

Keywords:
Comparative mapGenetic mapGenome viewerIntegrated databaseSecond-generation DNA sequencingTriticum aestivum

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Area of Science:

  • Genomics
  • Bioinformatics
  • Plant Science

Background:

  • Wheat (Triticum aestivum) genome research is complex due to its large size and polyploid nature.
  • Efficient access to integrated genomic data is crucial for accelerating wheat improvement.
  • Existing resources are often fragmented, hindering comprehensive analysis.

Purpose of the Study:

  • To develop an integrated, web-based database for wheat genome and genomic data.
  • To provide a centralized resource supporting wheat research and crop improvement.
  • To facilitate data sharing and interaction among the wheat genomics community.

Main Methods:

  • Development of a unified database integrating diverse wheat genomic datasets.
  • Implementation of multiple web-based applications including genome browsers, sequence data search tools, and genetic map viewers.
  • Creation of a collaborative platform (Wiki) for community interaction.

Main Results:

  • WheatGenome.info provides a comprehensive portal for wheat genome information.
  • Includes tools like GBrowse2 for genome visualization, TAGdb for sequence data, autoSNPdb for genetic variation, and CMap/CMap3D for genetic maps.
  • Offers links to external wheat genome resources, enhancing data accessibility.

Conclusions:

  • WheatGenome.info serves as a valuable, freely accessible resource for the global wheat research community.
  • The integrated platform aims to accelerate discoveries in wheat genomics and facilitate crop breeding advancements.
  • Enhanced data accessibility and collaborative features are expected to boost research productivity.