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Plant-GQ: An Integrative Database of G-Quadruplex in Plant
Fangfang Ge1, Yi Wang2, Huayang Li1
1Agricultural Big-Data Research Center and College of Plant Protection, Shandong Agricultural University, Taian, China.
Abstract:
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.
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