Article ID Journal Published Year Pages File Type
434899 Theoretical Computer Science 2012 11 Pages PDF
Abstract

The huge number of solutions in genome rearrangement problems calls for algorithms for counting and sampling in the space of solutions, rather than drawing one arbitrary scenario. A closed formula exists for counting the number of scenarios between co-tailed genomes, but no polynomial result has been published so far for arbitrary genomes. We prove here that it admits a Fully Polynomial time Randomized Approximation Scheme. We use an almost uniform sampler and prove that it converges to the uniform distribution in fully polynomial time. The can be used to quickly draw a sample of scenarios from a prescribed distribution and test some hypotheses on genome evolution.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics