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Related Experiment Video

Updated: Feb 22, 2026

Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis

Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis

Published on: July 16, 2019

Databases for Wheat Genomics and Crop Improvement.

Yuxuan Yuan¹, Armin Scheben¹, Chon-Kit Kenneth Chan¹

¹School of Plant Biology and Institute of Agriculture, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.

Methods in Molecular Biology (Clifton, N.J.)

|September 16, 2017

Summary

This summary is machine-generated.

High-throughput sequencing generates massive genomic data. This guide explains using databases and tools for efficient wheat genome research and crop breeding applications.

Keywords:

Crop breeding Genome browser Genomics T3 Wheat TAGdb Triticum aestivum WheatIS

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Area of Science:

Genomics
Bioinformatics
Agricultural Science

Background:

Advances in high-throughput sequencing have created large volumes of genomic data.
Databases are crucial for managing and accessing this information for scientific research.
Wheat genome research benefits significantly from accessible data management tools.

Purpose of the Study:

To provide an overview of database utilization for wheat genomics.
To guide researchers and crop breeders in using bioinformatics tools for wheat genome analysis.
To facilitate the application of genomic data in crop improvement.

Main Methods:

Outline of database functionalities relevant to genomic data.
Description of bioinformatics tools for data retrieval and analysis.
Practical examples of database and tool application in wheat research.

Main Results:

Researchers can effectively manage and access vast wheat genomic datasets.
Bioinformatics tools enable deeper insights into wheat genome structure and function.
Improved data accessibility accelerates crop breeding and trait discovery.

Conclusions:

Effective use of databases and tools is essential for modern wheat genomics.
This chapter empowers researchers to leverage genomic data for agricultural advancements.
Streamlined data management enhances the pace of innovation in crop science.