Many software tools are currently available to solve the hard goal of assembling millions of fragments produced in sequencing projects. Such a variety includes packages for long and short reads, generated by classical and next- generation sequencing technologies. Often the result produced by different tools can diverge—sometime significantly—for many reasons: the underlying algorithm, the data structures employed, the heuristics implemented, default parameters, etc.
On the ground of the above considerations, we were motivated in developing a methodology which may both guide in a comparison of different assembler’s output and improve the overall quality of the genome assembly sequences, by merging the sequences produced by different assembly programs.
