GRMhor

GRMhor identifies higher-order repeat (HOR) structures in eukaryotic genomes, particularly in centromeric regions, to enable the study of chromosome integrity, gene expression, and evolutionary relationships.

Key Features:

• HOR structure identification: Detects higher-order repeat structures formed by tandem monomeric units across diverse genomic sequences.
• Centromeric region analysis: Specializes in analysing repetitive monomer structures in centromeres essential for chromosome segregation during cell division.
• Individual genome specificity detection: Reveals differences in canonical and variant HOR copy numbers and overall structure between individual genomes.
• Cross-species comparative analysis: Identifies entirely different HOR sequences across higher primate genomes to assess genomic divergence.

Scientific Applications:

• Chromosome segregation research: Studies centromere structure specificities involving repetitive monomers required for proper chromosome segregation during cell division.
• Centromere evolution analysis: Explores evolutionary relationships and genomic divergence between species through HOR sequence comparison.
• Individual genome variation studies: Investigates structural differences in HOR arrays between individual human genomes beyond single nucleotide variation.
• Disease association research: Supports investigation of HOR influences on processes relevant to disease.

Methodology:

The GRMhor (Global Repeat Map hor) algorithm applies global repeat mapping to identify and annotate HOR structures in genomic sequences.