Ge Fangfang, Wang Yi, Li Huayang, Zhang Rui, Wang Xiaotong, Li Qingyun, Liang Zhenchang, Yang Long
Agricultural Big-Data Research Center and College of Plant Protection, Shandong Agricultural University, Taian, China.
Beijing Key Laboratory of Grape Science and Enology and Key Laboratory of Plant Resource, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
J Comput Biol. 2019 Sep;26(9):1013-1019. doi: 10.1089/cmb.2019.0010. Epub 2019 Apr 8.
G-quadruplex (G-Q) is advanced DNA or RNA secondary structures frequently found in plant and involved in important biological processes such as transcription, translation, and telomere maintenance. Although some databases and tools were developed for predicting and studying G-Q, none of them was for plant. With the development of next-generation sequencing technology, a large number of plant genomes have been assembled and annotated to provide opportunities for mining G-Q. Plant G-quadruplex database (Plant-GQ) was constructed for predicting G-Q in 195 plants. It has a total of 626,341,645 predicted G-Qs. The database contains four major parts: Search, Tools, JBrowse, and Download. Not only G-Q information but also online forecasting tool can be retrieved and obtained from Plant-GQ. It can also browse and analyze G-Q information by JBrowse in a graph visualization interface. Considering the key role of G-Q in plant, this database will play an important status in the study of the structure, function, and biological relevance of G-Q in plant.
G-四链体（G-Q）是在植物中常见的高级DNA或RNA二级结构，参与转录、翻译和端粒维持等重要生物学过程。尽管已经开发了一些用于预测和研究G-Q的数据库和工具，但没有一个是针对植物的。随着下一代测序技术的发展，大量植物基因组已被组装和注释，为挖掘G-Q提供了机会。植物G-四链体数据库（Plant-GQ）用于预测195种植物中的G-Q。它总共预测了626,341,645个G-Q。该数据库包含四个主要部分：搜索、工具、JBrowse和下载。不仅可以从Plant-GQ中检索和获取G-Q信息，还可以获得在线预测工具。它还可以通过JBrowse在图形可视化界面中浏览和分析G-Q信息。考虑到G-Q在植物中的关键作用，该数据库将在植物G-Q的结构、功能和生物学相关性研究中发挥重要作用。
