MaizeDIG

MaizeDIG integrates phenotypic images with genomic data to enable visualization and analysis of genotype–phenotype relationships in maize (Zea mays ssp. mays).

Key Features:

• Integration with genome browsers: Supports multiple reference genome assemblies and displays tagged mutant phenotype images within their genomic context.
• Custom tagging and annotation: Links images to genes and allows tagging of images to highlight specific phenotypes for analysis.
• Extensive image repository: Contains 2,396 mutant phenotype images associated with 10 maize reference genomes, with approximately 90 images manually annotated for classically defined maize genes.

Scientific Applications:

• Mutant phenotype analysis: Enables linking observable mutant traits to specific genetic variations for genetic studies.
• Genomic contextualization: Facilitates placement of phenotypic observations within the genomic landscape across multiple assemblies.
• Collaborative and comparative analysis: Supports sharing and comparison of phenotype–genotype data across research groups and regions.

Methodology:

Based on the BioDIG software package and implemented using the Django web framework, various database systems, Python, and related libraries.