Bergeron A, Stoye J. On the similarity of sets of permutations and its applications to genome comparison. JOURNAL OF COMPUTATIONAL BIOLOGY. 2006;13(7):1340-1354.The comparison of genomes with the same gene content relies on our ability to compare permutations, either by measuring how much they differ, or by measuring how much they are alike. With the notable exception of the breakpoint distance, which is based on the concept of conserved adjacencies, measures of distance do not generalize easily to sets of more than two permutations. In this paper, we present a basic unifying notion, conserved intervals, as a powerful generalization of adjacencies, and as a key feature of genome rearrangement theories. We also show that sets of conserved in...
Abstract The rearrangement distance is a method to compare genomes of different species. Such distan...
In this paper, we are interested in the algorithmic complexity of computing (dis)similarity measures...
International audienceIn this paper we explain how to easily compute gene clusters, formalized by cl...
Bergeron A, Stoye J. On the similarity of sets of permutations and its applications to genome compar...
The comparison of genomes with the same gene content relies on our ability to compare permutations,...
AbstractIn this paper, we address two different problems related to conserved regions in K⩾2 genomes...
International audienceIn this paper, we address two different problems related to conserved regions ...
International audienceIn this paper, we are interested in the computational complexity of computing ...
In this paper, we are interested in the computational complexity of computing (dis) similarity measu...
Abstract. Conserved intervals were recently introduced as a measure of similarity between genomes wh...
Comparative genomics consists in studying similarities/dissimilarities between genomes, and can be u...
International audienceRecently, several studies taking into account the ability for a gene to be abs...
In this paper, we are interested in the computational complexity of computing (dis)simila-rity measu...
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clu...
A central problem in comparative genomics consists in computing a (dis-)similarity measure between t...
Abstract The rearrangement distance is a method to compare genomes of different species. Such distan...
In this paper, we are interested in the algorithmic complexity of computing (dis)similarity measures...
International audienceIn this paper we explain how to easily compute gene clusters, formalized by cl...
Bergeron A, Stoye J. On the similarity of sets of permutations and its applications to genome compar...
The comparison of genomes with the same gene content relies on our ability to compare permutations,...
AbstractIn this paper, we address two different problems related to conserved regions in K⩾2 genomes...
International audienceIn this paper, we address two different problems related to conserved regions ...
International audienceIn this paper, we are interested in the computational complexity of computing ...
In this paper, we are interested in the computational complexity of computing (dis) similarity measu...
Abstract. Conserved intervals were recently introduced as a measure of similarity between genomes wh...
Comparative genomics consists in studying similarities/dissimilarities between genomes, and can be u...
International audienceRecently, several studies taking into account the ability for a gene to be abs...
In this paper, we are interested in the computational complexity of computing (dis)simila-rity measu...
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clu...
A central problem in comparative genomics consists in computing a (dis-)similarity measure between t...
Abstract The rearrangement distance is a method to compare genomes of different species. Such distan...
In this paper, we are interested in the algorithmic complexity of computing (dis)similarity measures...
International audienceIn this paper we explain how to easily compute gene clusters, formalized by cl...