Title :
SCJ: A Breakpoint-Like Distance that Simplifies Several Rearrangement Problems
Author :
Feijão, Pedro ; Meidanis, João
Author_Institution :
Inst. of Comput., Univ. of Campinas, Campinas, Brazil
Abstract :
The breakpoint distance is one of the most straightforward genome comparison measures. Surprisingly, when it comes to defining it precisely for multichromosomal genomes with both linear and circular chromosomes, there is more than one way to go about it. Pevzner and Tesler gave a definition in a 2003 paper, Tannier et al. defined it differently in 2008, and in this paper we provide yet another alternative, calling it SCJ for single-cut-or-join, in analogy to the popular double cut and join (DCJ) measure. We show that several genome rearrangement problems, such as median and halving, become easy for SCJ, and provide linear and higher polynomial time algorithms for them. For the multichromosomal linear genome median problem, this is the first polynomial time algorithm described, since for other distances this problem is NP-hard. In addition, we show that small parsimony under SCJ is also easy, and can be solved by a variant of Fitch´s algorithm. In contrast, big parsimony is NP-hard under SCJ. This new distance measure may be of value as a speedily computable, first approximation to distances based on more realistic rearrangement models.
Keywords :
biological techniques; biology computing; cellular biophysics; computational complexity; genetics; molecular biophysics; molecular configurations; Fitch algorithm; NP-hard problems; SCJ; big parsimony; breakpoint like distance; circular chromosomes; genome comparison measures; genome rearrangement problems; halving rearrangement problem; higher polynomial time algorithm; linear chromosomes; linear time algorithm; median rearrangement problem; multichromosomal genomes; multichromosomal linear genome median problem; single cut or join; small parsimony; Bioinformatics; Biological cells; Extremities; Genomics; Phylogeny; Polynomials; Biology and genetics; combinatorial algorithms; computations on discrete structures.; Algorithms; Gene Rearrangement; Genomics; Models, Genetic; Phylogeny;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2011.34