Abstract. Hannenhalli and Pevzner [5] gave a polynomial time algorithm for computing the minimum number of reversals, translocations, fissions, and fusions, that would transform one multichromosomal genome to another when both have the same set of genes without repeats. We fixed some problems with the construction: (1) They claim it can exhibit such a sequence of steps, but there was a gap in the construction. (2) Their construction had an asymmetry in the number of chromosomes in the two genomes, whereby forwards scenarios could have fissions but not fusions. We also improved the speed by combining the algorithm with the algorithm of Bader, Moret, and Yan [2] that produces reversal scenarios for permutations in linear time. 1
Motivation. Complex genome rearrangements, such as chromothripsis and chromoplexy, are common in can...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
When genomes of different species were compared, biologists noticed that groups of genes appeared to...
AbstractHannenhalli and Pevzner (36th Annual Symposium on Foundations of Computer Science, Milwaukee...
With the increasing amount of sequenced genomes, a comparison of species based on these data becomes...
Given two genomes represented as circularly ordered sequences of genes, we show a polynomial time a...
Measuring the minimum number of rearrangement events that transforms one genome into another is an i...
Genomes evolve by chromosomal fissions and fusions, reciprocal translocations between chro-mosomes, ...
AbstractAn important problem in computational biology is the genome rearrangement using reversals an...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
Abstract. This paper investigates the problem of conservation of com-binatorial structures in genome...
International audienceWe study the problem of transforming a multichromosomal genome into another us...
The study of genome rearrangements is an important tool in comparative genomics. This paper revisits...
AbstractIn computational biology, genome rearrangements is a field in which we investigate the combi...
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem ...
Motivation. Complex genome rearrangements, such as chromothripsis and chromoplexy, are common in can...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
When genomes of different species were compared, biologists noticed that groups of genes appeared to...
AbstractHannenhalli and Pevzner (36th Annual Symposium on Foundations of Computer Science, Milwaukee...
With the increasing amount of sequenced genomes, a comparison of species based on these data becomes...
Given two genomes represented as circularly ordered sequences of genes, we show a polynomial time a...
Measuring the minimum number of rearrangement events that transforms one genome into another is an i...
Genomes evolve by chromosomal fissions and fusions, reciprocal translocations between chro-mosomes, ...
AbstractAn important problem in computational biology is the genome rearrangement using reversals an...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
Abstract. This paper investigates the problem of conservation of com-binatorial structures in genome...
International audienceWe study the problem of transforming a multichromosomal genome into another us...
The study of genome rearrangements is an important tool in comparative genomics. This paper revisits...
AbstractIn computational biology, genome rearrangements is a field in which we investigate the combi...
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem ...
Motivation. Complex genome rearrangements, such as chromothripsis and chromoplexy, are common in can...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
When genomes of different species were compared, biologists noticed that groups of genes appeared to...