Time- and memory-efficient genome assembly with Raven

Whole genome sequencing technologies are unable to invariably read DNA molecules intact, a shortcoming that assemblers try resolve by stitching the obtained fragments back together. Here, we present methods for improvement of de novo assembly from erroneous long reads incorporated into tool called Raven. Raven maintains similar performance various genomes and has accuracy on par with other support third-generation data. It is one fastest options while having lowest memory consumption majority benchmarked datasets. designed democratize assembly, being simple efficient keeping high accuracy. Using method detection false overlaps based graph drawing, it can be employed sizes.