A practical comparison of the next-generation sequencing platform and assemblers using yeast genome

Assembling fragmented whole-genomic information from the se-quencing data is an inevitable process for further genome-wide research. However, it is intricate to select the appropriate assembly pipeline for unknown species because of the species -specific genomic properties. Therefore, our study focused on relatively more static proclivities of sequencing platforms and assembly algorithms than the fickle genome sequences. A total of 212 draft and polished de novo assemblies were constructed under the different sequencing platforms and assembly algo-rithms with the repetitive yeast genome. Our comprehensive data indicated that sequencing reads from Oxford Nanopore with R7.3 flow cells generated more continuous assemblies than those derived from the PacBio Sequel, although the homopolymer-based assembly errors and chimeric contigs exist. In addition, the comparison between two second-generation sequencing platforms showed that Illumina NovaSeq 6000 provides more accurate and continuous assembly in the second-generation-sequencing-first pipeline, but MGI DNBSEQ-T7 provides a cheap and accurate read in the polishing process. Furthermore, our insight into the relationship among the computational time, read length, and coverage depth provided clues to the optimal pipelines of yeast assembly.

Automated summary

Assembling fragmented whole-genomic information is necessary for further genome-wide research. Our study focused on selecting the appropriate assembly pipeline for unknown species, using repetitive yeast genome as a model. Our results showed that Oxford Nanopore with R7.3 flow cells generated more continuous assemblies compared to PacBio Sequel. We also found that Illumina NovaSeq 6000 provided more accurate and continuous assembly in the second-generation-sequencing-first pipeline, while MGI DNBSEQ-T7 provided a cheap and accurate read in the polishing process.