revoluzer

revoluzer identifies rearrangement events in unichromosomal genomes and determines parsimonious evolutionary scenarios using conserved gene intervals.

Key Features:

• Rearrangement Event Detection: Detects transpositions, reverse transpositions, reversals, and tandem-duplication-random-loss (TDRL) events in unichromosomal genomes.
• Parsimonious Scenario Analysis: Identifies minimal evolutionary changes that explain genomic differences under phylogenetic hypotheses.
• Common Intervals Methodology: Uses conserved gene intervals (common intervals) across genomes to enhance detection and scenario inference.

Scientific Applications:

• Phylogenetic Inference: Analyzes genomic rearrangements to reconstruct and evaluate evolutionary relationships under phylogenetic hypotheses.
• Genome Evolution Studies: Investigates mechanisms of rearrangement events, including transpositions and TDRL, in species diversification.

Methodology:

Identifies conserved gene intervals (common intervals) across unichromosomal genomes and uses them to detect transpositions, reverse transpositions, reversals, and TDRL events and to infer parsimonious evolutionary scenarios under phylogenetic hypotheses.