Computing the Family-Free DCJ Similarity

The genomic similarity is a large-scale measure for comparing two given genomes. In this talk we present the (NP-hard) problem of computing the genomic similarity under the DCJ model in a setting that does not assume that the genes of the compared genomes are grouped into gene families. This problem is called family-free DCJ similarity.  

We propose an exact ILP algorithm to solve the family-free DCJ similarity problem, then we show its APX-hardness and present four combinatorial heuristics with computational experiments comparing their results to the ILP.   We show that the family-free DCJ similarity can be computed in reasonable time, although for larger genomes it is necessary to resort to heuristics. This provides a basis for further studies on the applicability and model refinement of family-free whole genome similarity measures.  

This is joint work with Diego P. Rubert, Edna A. Hoshino, Jens Stoye and Fábio V. Martinez.  

Contact person: Zsuzsanna Lipták