计算机科学
数据科学
系统生物学
可视化
钥匙(锁)
蛋白质组学
软件
生物数据库
计算生物学
生物信息学
生物
数据挖掘
生物化学
计算机安全
基因
程序设计语言
作者
Seung Y. Rhee,Julie Dickerson,Dong Xu
标识
DOI:10.1146/annurev.arplant.56.032604.144103
摘要
Bioinformatics plays an essential role in today's plant science. As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction. At the same time, many researchers in biology are unfamiliar with available bioinformatics methods, tools, and databases, which could lead to missed opportunities or misinterpretation of the information. In this review, we describe some of the key concepts, methods, software packages, and databases used in bioinformatics, with an emphasis on those relevant to plant science. We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases. Finally, we explore a few emerging research topics in bioinformatics.
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