GMATA

GMATA identifies and analyzes simple sequence repeats (SSRs, microsatellites) in whole-genome and transcript sequences to enable genome-wide SSR discovery, statistical characterization, marker and primer design, polymorphism screening, and integrated visualization for comparative and genetic studies.

Key Features:

• SSR Mining: Efficient identification of SSRs across large genomes and transcriptomes using strategies that improve speed and accuracy.
• Statistical Analysis and Plotting: Provides statistical analyses and comprehensive plotting functions for interpretation of SSR distributions.
• Marker Design and Polymorphism Screening: Supports design of genetic markers and primer design and screens for polymorphisms.
• Marker Transferability: Assesses transferability of SSR markers across species or varieties to facilitate comparative genomic studies.
• Simultaneous Display with Genome Features: Enables simultaneous visualization of SSRs alongside other genome features at a genome-wide scale.

Scientific Applications:

• Plant genomics: Analysis across 15 grass genomes revealed distribution patterns of SSRs, with GA/TC dimers and A/T monomers being the most abundant motifs.
• Genome structure analysis: Identified a linear relationship between SSR count and chromosome length in fully assembled grass genomes.

Methodology:

Employs optimized strategies for SSR identification and primer design tailored to large genomes, enabling rapid computation on DNA sequences of any size.