A variant of the tandem duplication - random loss model of genome rearrangement

Mathematics – Combinatorics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1016/j.tcs.2008.11.017

In Soda'06, Chaudhuri, Chen, Mihaescu and Rao study algorithmic properties of the tandem duplication - random loss model of genome rearrangement, well-known in evolutionary biology. In their model, the cost of one step of duplication-loss of width k is $\alpha^k$ for $\alpha =1$ or $\alpha >=2 $. In this paper, we study a variant of this model, where the cost of one step of width $k$ is 1 if $k <= K$ and $\infty$ if $k > K$, for any value of the parameter $K in N$. We first show that permutations obtained after $p$ steps of width $K$ define classes of pattern-avoiding permutations. We also compute the numbers of duplication-loss steps of width $K$ necessary and sufficient to obtain any permutation of $S_n$, in the worst case and on average. In this second part, we may also consider the case $K=K(n)$, a function of the size $n$ of the permutation on which the duplication-loss operations are performed.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A variant of the tandem duplication - random loss model of genome rearrangement does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A variant of the tandem duplication - random loss model of genome rearrangement, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A variant of the tandem duplication - random loss model of genome rearrangement will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-160030

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.