DocumentCode
464285
Title
An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations
Author
Kothari, Moulik ; Moret, Bernard M E
Author_Institution
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM
fYear
2007
fDate
1-5 April 2007
Firstpage
151
Lastpage
158
Abstract
Rearrangements of genes and other syntenic blocks have become a topic of intensive study by phylogenists, comparative genomicists, and computational biologists: they are a feature of many cancers, must be taken into account to align highly divergent sequences, and constitute a phylogenetic marker of great interest. The mathematics of rearrangements is far more complex than for indels and mutations in sequences. Inversions have been well characterized through 20 years of work, but transpositions still await comparable results. We can compute inversion and DCJ (a combination of inversions and block exchanges) distances, and bounds on the transposition distance. The first has been extensively used in comparative genomics and phylogenetics, the second is quite new, and the third has not seen significant use to date. We present here a detailed experimental study of these three distance measures within the context of genome comparison (pairwise distances) and phylogenetic reconstruction. We used data generated through simulated evolution along various trees, using various evolutionary rates and various mixes of inversions and transpositions. Our main finding is that inversion and DCJ measures return very similar results even on data generated using only transpositions, while the measure based on Hartman´s bound is often too loose to provide comparable accuracy in genomic comparisons or phylogenetic reconstruction
Keywords
biology computing; evolution (biological); genetics; genes rearrangement; inversion-based genomic distances; phylogenetic marker; phylogenetic reconstruction; simulated evolution; transposition-based genomic distances; Bioinformatics; Biological system modeling; Biology computing; Cancer; Computational modeling; Evolution (biology); Genetic mutations; Genomics; Mathematics; Phylogeny;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0710-9
Type
conf
DOI
10.1109/CIBCB.2007.4221217
Filename
4221217
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