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Benchmarking of long-read sequencing, assemblers and polishers for yeast genome.

Xue ZhangChen-Guang LiuShi-Hui YangXia WangFeng-Wu BaiZhuo Wang
Published in: Briefings in bioinformatics (2022)
The assembler plays an essential role in genome construction, especially for low-depth datasets. For ONT datasets, Flye is superior to other tools through C_score evaluation. Polishing by Pilon and Medaka improve accuracy and continuity of the preassemblies, respectively, and their combination pipeline worked well in most quality metrics. For HiFi datasets, Flye and NextDenovo performed better than other tools, and polishing is also necessary. Enough data depth is required for high-quality genome construction by ONT (>80X) and HiFi (>20X) datasets.
Keyphrases
  • rna seq
  • single cell
  • genome wide
  • optical coherence tomography
  • electronic health record
  • big data
  • quality improvement
  • gene expression
  • deep learning
  • artificial intelligence
  • cell wall