Kmasker

Kmasker detects and characterizes repetitive sequence regions in plant genomes using k-mer counting methods to support analysis and masking for assembly and downstream analyses of complex, repeat-rich genomes from short high-throughput sequencing reads.

Key Features:

• Repetitive Sequence Detection: Automatically detects sequence regions characterized by meaningful k-mer patterns and identifies highly abundant k-mer patterns that correspond to repetitive sequences.
• Comparative Genomics via k-mers: Analyzes diverging k-mer patterns between whole-genome sequencing (WGS) samples to enable comparative analyses between cultivars or closely related species.
• Target Specificity Estimation: Estimates target specificity of guide RNAs for site-directed mutagenesis using the Cas9 endonuclease to inform CRISPR-Cas9 applications.

Scientific Applications:

• Genome assembly and annotation: Screening and masking of repetitive sequences to reduce misassembly and improve accuracy of genome assembly and annotation from short high-throughput sequencing reads.
• Comparative genomics and diversity studies: Detection of divergent k-mer patterns to study genetic variation, evolutionary relationships, and adaptation among cultivars or species.
• CRISPR-Cas9 guide design and mutagenesis: Support for designing and evaluating guide RNAs by estimating Cas9 target specificity for precise site-directed mutagenesis.

Methodology:

Applies k-mer counting methods to detect highly abundant k-mer patterns, compares k-mer frequency profiles across WGS samples to identify diverging patterns, and performs specificity estimation for guide RNAs against Cas9 targets.