Databases and bioinformatics tools for rice research

被引：9

作者：

Garg, Priyanka ^{[1
]}

Jaiswal, Pankaj ^{[1
]}

机构：

[1] Oregon State Univ, Dept Bot & Plant Pathol, 2082 Cordley Hall, Corvallis, OR 97331 USA

来源：

CURRENT PLANT BIOLOGY | 2016年 / 7-8卷

基金：

美国国家科学基金会;

关键词：

Biological database; Rice; Gene expression; Biocuration; Ontology; Pathways;

D O I：

10.1016/j.cpb.2016.12.006

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Rice is one of the most important agricultural crop in the world and widely studied model plant. The completion of whole genome sequence of rice (Oryza sativa) and high-throughput experimental platforms have led to the generation of the tremendous amount of data, and development of the specialized databases and bioinformatics tools for data processing, efficient organization, analysis, and visualization. In this article, we discuss a collection of biological databases that host genomics data on sequence, gene expression, genetic variation, gene-interactomes, and pathways, and facilitate data analysis and visualization. (C) 2016 The Authors. Published by Elsevier B.V.

引用

页码：39 / 52

页数：14

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