Next Generation Sequencing technologies are able to provide high genome coverages at a relatively low cost. However, due to limited reads length (from 30 bp up to 200 bp), specific bioinformatics problems have become even more difficult to solve. De novo assembly with short reads, for example, is more complicated at least for two reasons: first, the overall amount of noisy data to cope with increased and, second, as the reads length decreases the number of unsolvable repeats grows. Our works aim is to go at the root of the problem by providing a pre-processing tool capable to produce (in-silico) longer and highly accurate sequences from a collection of Next Generation Sequencing reads.