Detection and validation of single gene inversions.
case_control · Level III
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Abstract
The biologically meaningful algorithmic study of genome rearrangement should take into account the distribution of sizes of the rearranged genomic fragments. In particular, it is important to know the prevalence of short inversions in order to understand the patterns of gene order disruption observed in comparative genomics. We find a large excess of short inversions, especially those involving a single gene, in comparison with a random inversion model. This is demonstrated through comparison of four pairs of bacterial genomes, using a specially-designed implementation of the Hannenhalli-Pevzner theory, and validated through experimentation on pairs of random genomes matched to the real pairs.
Medical subject headings
- Algorithms
- Chromosome Inversion
- DNA Mutational Analysis
- Gene Expression Profiling
- Genome, Bacterial
- Sequence Alignment
- Sequence Analysis, DNA