CottonFGD: an integrated functional genomics database for cotton

文献类型： 外文期刊

第一作者： Zhu, Tao

作者： Zhu, Tao;Liang, Chengzhen;Meng, Zhigang;Sun, Guoqing;Meng, Zhaoghong;Guo, Sandui;Zhang, Rui

作者机构：

关键词： Cotton;Database;RNA-seq;Functional annotation;Variation;Genetic marker

期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.215； 五年影响因子：4.96 ）

ISSN： 1471-2229

年卷期： 2017 年 17 卷

页码：

收录情况： SCI

摘要： Background: Cotton (Gossypium spp.) is the most important fiber and oil crop in the world. With the emergence of huge-omics data sets, it is essential to have an integrated functional genomics database that allows worldwide users to quickly and easily fetch and visualize genomic information. Currently available cotton-related databases have some weakness in integrating multiple kinds of-omics data from multiple Gossypium species. Therefore, it is necessary to establish an integrated functional genomics database for cotton. Description: We developed CottonFGD (Cotton Functional Genomic Database, https://cottonfgd.org), an integrated database that includes genomic sequences, gene structural and functional annotations, genetic marker data, transcriptome data, and population genome resequencing data for all four of the sequenced Gossypium species. It consists of three interconnected modules: search, profile, and analysis. These modules make CottonFGD enable both single gene review and batch analysis with multiple kinds of-omics data and multiple species. CottonFGD also includes additional pages for data statistics, bulk data download, and a detailed user manual. Conclusion: Equipped with specialized functional modules and modernized visualization tools, and populated with multiple kinds of-omics data, CottonFGD provides a quick and easy-to-use data analysis platform for cotton researchers worldwide.

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