Although analysis of genome rearrangements was pioneered by Dobzhansky and Sturtevant 65 years ago, we still know very little about the rearrangement events that produced the existing varieties of genomic architectures. The genomic sequences of human and mouse provide evidence for a larger number of rearrangements than previously thought and shed some light on previously unknown features of mammalian evolution. In particular, they reveal that a large number of microrearrangements is required to explain the differences in draft human and mouse sequences. Here we describe a new algorithm for constructing synteny blocks, study arrangements of synteny blocks in human and mouse, derive a most parsimonious human-mouse rearrangement scenario, and provide evidence that intrachromosomal rearrangements are more frequent than interchromosomal rearrangements. Our analysis is based on the human-mouse breakpoint graph, which reveals related breakpoints and allows one to find a most parsimonious scenario. Because these graphs provide important insights into rearrangement scenarios, we introduce a new visualization tool that allows one to view breakpoint graphs superimposed with genomic dot-plots.[Supplemental material is available online at www.genome.org.]Analysis of genome rearrangements in molecular evolution was pioneered by Dobzhansky and Sturtevant (1938), who published a milestone paper with an evolutionary tree presenting a rearrangement scenario with 17 inversions for the species Drosophila pseudoobscura and Drosophila miranda. Every genome rearrangement study involves solving a combinatorial puzzle to find a series of genome rearrangements to transform one genome into another. Palmer and co-authors (Palmer and Herbon 1988) pioneered studies of the shortest (most parsimonious) rearrangement scenarios and applied this approach to plant mtDNA and cpDNA. Since then, the analysis of the most parsimonious scenarios has become the dominant approach in genome rearrangement studies. For unichromosomal genomes, it usually amounts to analysis of inversions (also known as reversals), which are the most common rearrangement events. The problem of finding the minimum number of reversals to transform one unichromosomal genome into another is known as the "reversal distance problem." For multichromosomal genomes, the most common rearrangements are reversals, translocations, fusions, and fissions, and the number of such rearrangements in a most parsimonious scenario is known as the "genomic distance" between multichromosomal genomes.Finding the reversal distance is a difficult combinatorial problem. In the very first computational studies of genome rearrangements, Watterson et al. (1982) and Nadeau and Taylor (1984) introduced the notion of a breakpoint (disruption of gene order) and noticed some correlations between the reversal distance and the number of breakpoints (in fact, Sturtevant and Dobzhansky [1936] implicitly discussed these correlations 65 years ago!). The shortcoming of early genome rearrangement studies is that they co...