Dhanapal Arun Prabhu, Govindaraj Mahalingam
Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, India.
Genet Res Int. 2015;2015:684321. doi: 10.1155/2015/684321. Epub 2015 Mar 19.
The number of sequenced crop genomes and associated genomic resources is growing rapidly with the advent of inexpensive next generation sequencing methods. Databases have become an integral part of all aspects of science research, including basic and applied plant and animal sciences. The importance of databases keeps increasing as the volume of datasets from direct and indirect genomics, as well as other omics approaches, keeps expanding in recent years. The databases and associated web portals provide at a minimum a uniform set of tools and automated analysis across a wide range of crop plant genomes. This paper reviews some basic terms and considerations in dealing with crop plant databases utilization in advancing genomic era. The utilization of databases for variation analysis with other comparative genomics tools, and data interpretation platforms are well described. The major focus of this review is to provide knowledge on platforms and databases for genome-based investigations of agriculturally important crop plants. The utilization of these databases in applied crop improvement program is still being achieved widely; otherwise, the end for sequencing is not far away.
随着廉价的新一代测序方法的出现，已测序的作物基因组数量和相关的基因组资源正在迅速增长。数据库已成为科学研究各个方面不可或缺的一部分，包括基础和应用动植物科学。随着近年来来自直接和间接基因组学以及其他组学方法的数据集数量不断扩大，数据库的重要性持续增加。这些数据库和相关的门户网站至少提供了一套统一的工具以及针对广泛的作物基因组的自动化分析。本文回顾了在推进基因组时代处理作物数据库利用方面的一些基本术语和注意事项。利用数据库与其他比较基因组学工具进行变异分析以及数据解释平台都有详细描述。本综述的主要重点是提供有关用于对具有农业重要性的作物进行基于基因组研究的平台和数据库的知识。这些数据库在应用作物改良计划中的利用仍未广泛实现；否则，测序的终点就不远了。
