User Help Documentation
Welcome to Maize Pangenome Database
The Maize Pangenome Database is a comprehensive genomics resource platform built by the Crop Science and Genomics Innovation Center, South China Agricultural University. It integrates high-quality genome sequences from 24 maize varieties.
Database Overview
- 24 Maize Varieties - Complete genome collections
- 68.5 GB - Total genome data size
- 892K Genes - Comprehensive gene annotation
- 45.2M Variants - Genetic variations identified
- Multiple Annotations - GO, KEGG, Pfam
- Comparative Analysis - Orthogroup and synteny
Navigation Guide
- Use the sidebar menu to navigate between different sections
- Click on menu items to access main features
- Use the search box in data tables to quickly find specific information
- Access Quick Access links from the homepage for direct navigation
Browse Maize Varieties and Genes
Access comprehensive information about 24 maize varieties and their genomic data.
How to Use
- Navigate to Gene Search & Browse from the menu or homepage
- Browse the table showing all maize samples (varieties)
- Use the search box to filter by ID, Class, or Name
- Click the MORE button to view detailed sample information
Available Features
Sample List
View all 24 maize varieties with basic information
Detailed Information
Access comprehensive metadata for each sample
Data Export
Use the export buttons in the table to:
- 📋 COPY - Copy table data to clipboard
- 📄 Export to CSV - Download data as CSV file
Comprehensive Gene Annotation
Explore gene functional annotations from multiple databases including GO, KEGG, and Pfam.
GO Annotation (Gene Ontology)
Browse genes with Gene Ontology annotations including molecular function, biological process, and cellular component.
- Gene ID - Unique identifier for each gene
- EIL/EVM Gene ID - Alternative gene identifiers
- Location - Chromosome, start, end position, and strand
- GO Terms - Functional annotation from GO database
- Association - View detailed gene association data
KEGG Annotation
Access pathway information and explore metabolic and signaling pathways.
Pfam Annotation
Browse protein families and domain architectures for all annotated genes.
Gene Association
Click the Association button to view:
- Complete gene information (EIL ID, EVM ID, location)
- All associated GO annotations with descriptions
- KEGG pathway annotations
- Pfam protein domain annotations
Comparative Genomics Tools
Perform comparative analysis across multiple maize varieties using orthogroup data.
What are Orthogroups?
Orthogroups are groups of genes that are descended from a single gene in the last common ancestor of the species being considered. They help identify:
- Orthologs - Genes in different species that evolved from a common ancestral gene
- Paralogs - Genes related by duplication within a genome
- Gene families - Groups of related genes across multiple species
How to Use
- Access Genome Comparison Analysis from the menu
- Browse the orthogroup table showing all genes and their relationships
- Search by Orthogroup ID, Sample name, or Gene ID
- Export data for further analysis
Table Columns
| Column | Description |
|---|---|
| Orthogroup | Unique orthogroup identifier (e.g., OG0000001) |
| Class | Gene family or functional category |
| Sample | Maize variety name |
| Gene | Associated gene identifier |
Download Genomic Data
Access and download various genomic data files from our FTP server.
Available Data Types
Genome Sequences
Complete genomic sequences for all varieties
Annotation Files
Gene annotations in GFF/GFF3 format
Variation Data
SNPs and structural variants
Analysis Results
Orthogroup and synteny analysis data
How to Download
- Go to Data Download Center from the menu or homepage
- Browse the FTP server directory structure in the embedded viewer
- Navigate to the desired data folder
- Click on files to download them directly
- Or click Open in New Tab to open FTP server in a new window
Need Help?
If you encounter any issues downloading data or need assistance with specific file formats, please visit our Help page or Contact Us.
Getting the Most Out of Data Tables
All data tables in our database use DataTables with powerful features for data exploration.
Search and Filter
- Global Search - Use the search box at the top right to filter all columns
- Column Sort - Click column headers to sort ascending/descending
- Pagination - Navigate through pages using pagination controls
Page Length
Adjust the number of rows displayed per page:
- Click the dropdown menu showing "10" (default)
- Select from options: 10, 20, 50, 100, 200, 500, 1000, etc.
- Choose "All" to display all records on one page
Export Data
Use the export buttons in the top-right of each table:
- 📋 COPY - Copy selected data to clipboard
- 📄 Export to CSV - Download as CSV spreadsheet file
Frequently Asked Questions
How do I search for a specific gene?
Use the search box in any data table. You can search by Gene ID, chromosome, position, or annotation terms. The search filters data in real-time across all columns.
What file formats are available for download?
We provide data in various formats including FASTA (sequences), GFF/GFF3 (annotations), CSV (tabular data), and VCF (variants). Specific formats depend on the data type.
Can I compare genes across different maize varieties?
Yes! Use the "Genome Comparison Analysis" feature to view orthogroups. This shows how genes are related across all 24 maize varieties in our database.
What does the strand information mean?
Forward (+) indicates the gene is on the forward DNA strand, Reverse (-) indicates it's on the reverse strand. This is important for understanding gene orientation.
Troubleshooting
Table not loading or displaying data
- Check your internet connection
- Try refreshing the page (F5 or Ctrl+R)
- Clear your browser cache
- Ensure JavaScript is enabled in your browser
Download is slow or fails
- Large files may take time to download depending on your connection
- Try using "Open in New Tab" to access FTP directly
- Use a download manager for better stability
- Contact us if the issue persists
Search not returning expected results
- Check for typos in your search term
- Try using partial matches (e.g., "EIL" instead of full ID)
- Clear the search box and enter a new term
- Verify that the data exists in the database
Still Need Help?
If you can't find the answer to your question or need further assistance, please don't hesitate to reach out to our team.