Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

Full name: Cotton Functional Genomics Database
Description: Cotton Functional Genomics Database (CottonFGD) integrates with modern genomic/transcriptomic data and earch/analysis/visualization modules. It aims at providing an easy, quick and visualized data analysis platform for cotton (Gossypium spp) researchers and other functional genomic researches.
Year founded: 2017
Last update: 2018
Real time : Checking...
Country/Region: China
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Contact information

University/Institution: Chinese Academy of Agricultural Sciences
Address: Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
City: Beijing
Country/Region: China
Contact name (PI/Team): Sandui Guo
Contact email (PI/Helpdesk):


CottonFGD: an integrated functional genomics database for cotton. [PMID: 28595571]
Zhu T, Liang C, Meng Z, Sun G, Meng Z, Guo S, Zhang R.

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, ), 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.

BMC Plant Biol. 2017:17(1) | 39 Citations (from Europe PMC, 2021-06-19)


All databases:
868/5061 (82.869%)
Raw bio-data:
60/487 (87.885%)
Gene genome and annotation:
295/1350 (78.222%)
Genotype phenotype and variation:
110/705 (84.539%)
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Created on: 2018-01-27
Curated by:
Aniza Aziz [2018-04-11]
Yang Zhang [2018-01-27]