CottonFGD: an integrated functional genomics database for cotton.

Area of Science:

• Plant genomics
• Bioinformatics
• Crop science

Background:

• Cotton (Gossypium spp.) is a globally significant fiber and oil crop.
• The increasing volume of -omics data necessitates integrated functional genomics databases.
• Existing cotton databases lack comprehensive integration of multi-species, multi-omics data.

Purpose of the Study:

• To develop an integrated functional genomics database for cotton.
• To address the limitations of current cotton-related databases.
• To facilitate easy access and visualization of genomic information for researchers.

Main Methods:

• Developed CottonFGD (Cotton Functional Genomic Database) at https://cottonfgd.org.
• Integrated genomic sequences, gene annotations, genetic markers, transcriptome, and resequencing data.
• Designed three interconnected modules: search, profile, and analysis for single gene review and batch analysis.

Main Results:

• CottonFGD encompasses data for all four sequenced Gossypium species.
• The database supports analysis of multiple -omics data types across species.
• Includes data statistics, bulk download options, and a user manual.

Conclusions:

• CottonFGD offers a centralized platform for cotton functional genomics research.
• Specialized modules and visualization tools enhance data analysis capabilities.
• Provides a quick and user-friendly data analysis solution for global cotton researchers.