Genome assembly is a fundamental tool for biological research . Particularly, in microbiology, where budgets per sample are often scarce, it can make the difference between an inconclusive result and a fully valid conclusion . Identifying new strains or estimating the relative abundance of quasi-species in a sample are some example tasks that can ’ t be properly accomplished without previously generating assemblies with little structure ambiguity and covering most of the genome . In this work, we present a new genome assembly tool based on a greedy strategy . We compare the results obtained applying this tool to the results obtained with previously existing software . We find that, when applied to viral studies, comparatively, the software we developed often gets far larger contigs and higher genome fraction coverage than previous software . We also find a significant advantage when applied to exceptionally large virus genomes.