Databases for Wheat Genomics and Crop Improvement

Yuxuan Yuan; Armin Scheben; Chon-Kit Kenneth Chan; David Edwards

doi:10.1007/978-1-4939-7337-8_18

Databases for Wheat Genomics and Crop Improvement

Methods Mol Biol. 2017:1679:277-291. doi: 10.1007/978-1-4939-7337-8_18.

Authors

Yuxuan Yuan¹, Armin Scheben¹, Chon-Kit Kenneth Chan¹, David Edwards²

Affiliations

¹ School of Plant Biology and Institute of Agriculture, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
² School of Plant Biology and Institute of Agriculture, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia. Dave.Edwards@uwa.edu.au.

PMID: 28913808
DOI: 10.1007/978-1-4939-7337-8_18

Abstract

The genomics revolution brought on by advances in high-throughput sequencing has led to the production of vast amounts of data. Databases play an essential role in storing and managing this information to make it available to researchers and crop breeders. This chapter provides an outline of how to use databases and tools for wheat genome research.

Keywords: Crop breeding; Genome browser; Genomics; T3 Wheat; TAGdb; Triticum aestivum; WheatIS.

MeSH terms

Computational Biology / methods
Databases, Genetic*
Genome, Plant*
Genomics* / methods
Plant Breeding
Triticum / genetics*
User-Computer Interface
Web Browser