Unknown

Dataset Information

Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly.


ABSTRACT: Genome assemblers are computational tools for de novo genome assembly, based on a plenitude of primary sequencing data. The quality of genome assemblies is estimated by their contiguity and the occurrences of misassemblies (duplications, deletions, translocations or inversions). The rapid development of sequencing technologies has enabled the rise of novel de novo genome assembly strategies. The ultimate goal of such strategies is to utilise the features of each sequencing platform in order to address the existing weaknesses of each sequencing type and compose a complete and correct genome map. In the present study, the hybrid strategy, which is based on Illumina short paired‑end reads and Nanopore long reads, was benchmarked using MaSuRCA and Wengan assemblers. Moreover, the long‑read ass

SUBMITTER: Gavrielatos M 

PROVIDER: S-EPMC7893683 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature