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A basic task in comparative genomics is to find the rearrangement distance between two given genomes, i.e., the minimum number of rearragement operations that transform one given genome into another one.
We propose an integer linear program (ILP) formulation to compute the family-free DCJ distance between two given genomes.
In a family-based setting, genes are grouped into gene families and efficient algorithms have already been presented to compute the DCJ distance between two given genomes.
This formulation is a slightly different version of the ILP for the maximum cycle decomposition problem given by Shao et al. [ 10] to compute the DCJ distance between two given genomes with duplicate genes.
While most strains belonged to a core-population that exhibited less than one hundred variant positions between two given genomes, some other genomes revealed massive replacing HGT from the companion pathogen D. dianthicola and a plasmid acquisition from Burkholderia ambifaria.
Similar(54)
In this work we propose the problem of computing the DCJ distance of two given genomes without prior gene family assignment, directly using the pairwise similarities between genes.
The median problem on three genomes is to find a single genome that minimizes the sum of pairwise distances between itself and each of the three given genomes.
In an approach that is not dissimilar, Avg CR produces only one distance matrix with its values being representative of the distances between two given taxa using the other twenty genomes as the conditioning genome, averaged by the number of genomes.
When applied to the tissue transcriptome data from the Mouse Genomes Project from the Wellcome Trust Sanger Institute, IUTA identified 2,073 genes with differential isoform usage between any two given tissues and 46 genes with tissue-specific isoform usage.
In any given genome, intron number varies between 1 (in ten taxa) and 19 (in P. brevispinosa).
The Genome Parser creates the naïve six frame translated protein FASTA database of a given genome.
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